Scaler Data Science & Machine Learning Program (2024)

Table of Contents
Why Scaler Data Science & Machine Learning Program? What kind of projects are included as part of this Data Science course? What if I get stuck or need guidance? Sahil Chelaramani Hitesh Hinduja Aakash Agarwal Deepak Gupta Sanjeev Singh Naga Budigam Will I get Placement Assistance? Which Data Science tools would I learn? Meet the people who made it to the top companies Can I acquire unique skills from this Data Science Course? Our top-notch Advisors hold us accountable. Is Scaler’s Data science course’s curriculum aligned with the industry? Beginner Module Data Analysis and Visualization Foundations of Machine Learning and Deep Learning Specializations Machine Learning Ops Advanced Data Structures and Algorithms Data Analysis and Visualization Foundations of Machine Learning and Deep Learning Specializations Machine Learning Ops Advanced Data Structures and Algorithms Foundations of Machine Learning and Deep Learning Specializations Machine Learning Ops Advanced Data Structures and Algorithms Will I receive a Data Science Certification upon completing this course? Why do I need to learn DSA and Big Data? Can I try a demo class? Who will teach me all this? Srikanth Varma Ajay Shenoy Harsh*t Tyagi Anant Mittal Mohit Uniyal Mudit Goel Prashant K Tiwari Sameer Shah Nitish Jaipuria Shan Mehrotra Sundaravaradhan Amit Singh Mohit Kukkarl Rahul Aggarwal Suraaj Hasija Suransh Chopra Thanish Batcha Vishwath parthasarathy Great, but what about the Scaler Data Science Course fee? Is it affordable? Can I connect with other top Data Scientists & ML Engineers? Do you have any proof or reviews that your course works? Sumit Kumar Dolly Vaishnav Scaler Data Science Training FAQ’s 😎 Look who is famous!

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Scaler Data Science
& Machine Learning Program


Unlock the power of data with Scaler's Data Science course, mastering crucial skills for success in the field, all backed by secure placement support.

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1:1 mentorship Scaler Data Science & Machine Learning Program (4)

Industry projects

Find our Alumnis at -

Scaler Data Science & Machine Learning Program (5)

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How to Become a Great Software Developer

By Anshuman Singh

Co-Founder at Scaler Academy

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Scheduling for :

3rd Jul 2024 | 07:00 PM - 09:00 PM

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Attend a Free Class to Experience The Scaler Data Science Program

By Srikant Varma Chekuri

Instructor at Scaler Data Science

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Scheduling for :

1st Jul 2024 | 07:00 PM - 09:00 PM

Book a FREE live class

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Scaler Data Science & Machine Learning Program (10)

How to Become a Great Software Developer

By Anshuman Singh

Co-Founder at Scaler Academy

3rd Jul 2024

07:00 PM - 09:00 PM

Scaler Data Science & Machine Learning Program (11)

Attend a Free Class to Experience The Scaler Data Science Program

By Srikant Varma Chekuri

Instructor at Scaler Data Science

1st Jul 2024

07:00 PM - 09:00 PM

Scaler Data Science & Machine Learning Program (12)

Attend a Free Class to Experience The Scaler Data Science Program

By Srikant Varma Chekuri

Instructor at Scaler Data Science

6th Jul 2024

12:00 PM - 02:00 PM

Scaler Data Science & Machine Learning Program (13)

test

By Srikant Varma Chekuri

Instructor at Scaler Data Science

6th Jul 2024

07:00 PM - 09:00 PM

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Scaler Data Science & Machine Learning Program (14)

Next Batch starts in JULY

Find our Alumnis at -

Why Scaler Data Science & Machine Learning Program?

Scaler’s Data Science course is a program curated to help you kick-start your career in Data Science & Machine Learning. We’ll make you industry-ready through a rigorous curriculum taught by industry veterans who’ll mentor you as you headway toward growth.

Monthly 1:1 mentorship by industry experts to provide personalized guidance and support.

Learn from industry-leading experts who have built FB messenger, Uber, etc.

50+ Hands-on projects and real-world case studies enrich your learning experience.

Get Expert career guidance to help you navigate your path in data science.

Master essential tools and languages used in data science and machine learning.

Join a thriving community of learners and alumni for networking and support.

Scaler Data Science & Machine Learning Program (16)

1:1 Mentorship

Monthly 1:1 mentorship by industry experts to provide personalized guidance and support.

Scaler Data Science & Machine Learning Program (17)

Top Instructors

Learn from industry-leading experts who have built FB messenger, Uber, etc.

Scaler Data Science & Machine Learning Program (18)

Projects and Case Studies

50+ Hands-on projects and real-world case studies enrich your learning experience.

Scaler Data Science & Machine Learning Program (19)

Career Counselling

Get Expert career guidance to help you navigate your path in data science.

Scaler Data Science & Machine Learning Program (20)

Tools and Languages

Master essential tools and languages used in data science and machine learning.

Scaler Data Science & Machine Learning Program (21)

Learners & Alumni Network

Join a thriving community of learners and alumni for networking and support.

1.

What kind of projects are included as part of this Data Science course?

Projects from top companies to make you a real Data Scientist or ML Engineer.

Gain practical experience through real data sets and projects developed in collaboration with leading companies.

View more projects >

All Projects

Scaler Data Science & Machine Learning Program (22)

Online Security

Decide which transactions should be blocked to keep users safe.

Scaler Data Science & Machine Learning Program (23)

Network Optimization

Optimize network speed by minimizing junk traffic and spammy bots.

Scaler Data Science & Machine Learning Program (24)

Improve Product Design

Make the checkout experience flawless to boost sales.

Scaler Data Science & Machine Learning Program (25)

Improve User Experience

Make the games and app more engaging to boost daily usage

Scaler Data Science & Machine Learning Program (26)

Predict ETA

Predict when would medicine arrive at customer's addresses.

Scaler Data Science & Machine Learning Program (27)

Recommendation Engine

Show personalized recommendations to improve user experience.

Scaler Data Science & Machine Learning Program (28)

Online Security

Decide which transactions should be blocked to keep users safe.

Scaler Data Science & Machine Learning Program (29)

Network Optimization

Optimize network speed by minimizing junk traffic and spammy bots.

Scaler Data Science & Machine Learning Program (30)

Improve Product Design

Make the checkout experience flawless to boost sales.

Scaler Data Science & Machine Learning Program (31)

Improve User Experience

Make the games and app more engaging to boost daily usage

Scaler Data Science & Machine Learning Program (32)

Predict ETA

Predict when would medicine arrive at customer's addresses.

Scaler Data Science & Machine Learning Program (33)

Recommendation Engine

Show personalized recommendations to improve user experience.

Scaler Data Science & Machine Learning Program (34)

Online Security

Decide which transactions should be blocked to keep users safe.

Scaler Data Science & Machine Learning Program (35)

Network Optimization

Optimize network speed by minimizing junk traffic and spammy bots.

Scaler Data Science & Machine Learning Program (36)

Improve Product Design

Make the checkout experience flawless to boost sales.

Scaler Data Science & Machine Learning Program (37)

Improve User Experience

Make the games and app more engaging to boost daily usage

Scaler Data Science & Machine Learning Program (38)

Predict ETA

Predict when would medicine arrive at customer's addresses.

Scaler Data Science & Machine Learning Program (39)

Recommendation Engine

Show personalized recommendations to improve user experience.

Scaler Data Science & Machine Learning Program (40)

Sahil Chelaramani

Ex

read more

Scaler Data Science & Machine Learning Program (41)

Hitesh Hinduja

Ex

read more

Scaler Data Science & Machine Learning Program (42)

Aakash Agarwal

Ex

read more

Scaler Data Science & Machine Learning Program (43)

Deepak Gupta

Ex

read more

Scaler Data Science & Machine Learning Program (44)

Sanjeev Singh

Ex

read more

Scaler Data Science & Machine Learning Program (45)

Naga Budigam

Ex

read more

Scaler Data Science & Machine Learning Program (46)

Sahil Chelaramani

Ex

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  • Data Scientist, Microsoft
  • Senior Manager - Artificial Intelligence
  • He has worked on Bing Search and Azure Global Development teams. He has experience in building large Deep Learning projects, and Data Science solutions.

Scaler Data Science & Machine Learning Program (47)

Hitesh Hinduja

Ex

read less

  • Ola Electric
  • Senior Manager - Artificial Intelligence
  • Leading Ola Electric Data Science, Smart Mobility at OLA with a team of 20 people Developing products with end to end ML pipelines

Scaler Data Science & Machine Learning Program (48)

Aakash Agarwal

Ex

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  • Mastercard
  • Senior Member of a corporate research (Data Scientists) team who develops state of the art NLP products which improves business at scale.

Scaler Data Science & Machine Learning Program (49)

Deepak Gupta

Ex

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  • Bosch Center for Artificial Intelligence (BCAI)
  • Senior Data Scientist
  • Senior Member of a corporate research (Data Scientists) team who develops state of the art NLP products which improves business at scale.

Scaler Data Science & Machine Learning Program (50)

Sanjeev Singh

Ex

read less

  • BharatPe
  • Head of Data Platform & Engineering
  • Heading BharatPe Data Platform and Engineering, Building End to End Data Pipeline , Data warehouse and Reporting solution. Providing Data Solution & Insights for Nex Gen Fintech and Banking in BharatPe.

Scaler Data Science & Machine Learning Program (51)

Naga Budigam

Ex

read less

  • TVS Motor Company
  • Lead Data Scientist
  • Understanding business problems , translate them into AI/ML problems with a team of 11 Data Scientist and Build MVPs and conduct the DOEs to quantify the incremental benefit obtained through the AI/ML solution/product.

2.

What if I get stuck or need guidance?

Get 1:1 Mentorship from Expert Data Scientists and ML Engineers!

Speak 1:1 with your mentor to get all your data science related queries and doubts answered, help you define your career paths, conduct mock interviews, and give you detailed feedback.

View all

Your Mentors

Scaler Data Science & Machine Learning Program (52)

Sahil Chelaramani

Ex

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Scaler Data Science & Machine Learning Program (53)

Hitesh Hinduja

Ex

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Scaler Data Science & Machine Learning Program (54)

Aakash Agarwal

Ex

read more

Scaler Data Science & Machine Learning Program (55)

Deepak Gupta

Ex

read more

Scaler Data Science & Machine Learning Program (56)

Sanjeev Singh

Ex

read more

Scaler Data Science & Machine Learning Program (57)

Naga Budigam

Ex

read more

3.

Will I get Placement Assistance?

Create real-world impact with your new skillset!

Companies wish to hire data scientists and ML engineers who are not just certified and skilled but also have a deep understanding of business. We at Scaler help you achieve the best skillset and help you get job opportunities from top companies.

Scaler Data Science & Machine Learning Program (58)

Resume Making

Scaler Data Science & Machine Learning Program (59)

Help with Referrals

Scaler Data Science & Machine Learning Program (60)

Mock Interview

Scaler Data Science & Machine Learning Program (61)

Career Counselling

Scaler Data Science & Machine Learning Program (62)

4.

Which Data Science tools would I learn?

“Git” better at predicting & manipulating data with an array of tools!

Learn 45+ Data Science tools, including Git, TensorFlow, PySpark, PyTorch, and Kafka.

Meet the people who made it to the top companies

Scaler Data Science & Machine Learning Program (63)

Ayan Sengupta

System Dev Engineer

DSML Nov21 Intermediate

Trianz

Scaler Data Science & Machine Learning Program (64) Scaler Data Science & Machine Learning Program (65)

Courses like DSA and DSML with Scaler stood out to me because they'd provide you with every resource possible to enhance your learning. The only thing that you'd be required to dedicate all around the course would be commitment!

Scaler Data Science & Machine Learning Program (68)

Tai Rakesh Kumar

Data Engineer

DSML Feb22 Advanced

TCS

Scaler Data Science & Machine Learning Program (69) Scaler Data Science & Machine Learning Program (70)

Coming from a less privileged background, the course has done wonders for me. Would recommend the Scaler program, especially DSML to engineers wanting to enter and grow in the sector of AI & ML

Scaler Data Science & Machine Learning Program (73)

Arun M V

Applied scientist

DSML Nov21 Intermediate

Qualcomm

Scaler Data Science & Machine Learning Program (74) Scaler Data Science & Machine Learning Program (75)

Choosing the scaler course was the best decision I have made for my career growth.Throughout my journey with scaler, it was more like a fun way to learn and develop skills. With every session, I used to be more and more curious. It never felt like a chore to attend the classes. Even after having a tiring day, I always looked forward to learning and enjoying the scaler sessions at night.

Scaler Data Science & Machine Learning Program (78)

Abhishek singh

FullStack Engineer

DSML Nov21 Beginner

Sun Life

Scaler Data Science & Machine Learning Program (79) Scaler Data Science & Machine Learning Program (80)

I took assistance from Scaler, and little did I know when I enrolled in the course that not only will I thoroughly enjoy my time there, but secure my dream placement as well :)

Scaler Data Science & Machine Learning Program (83)

Harsh Patel

Data Scientist

DSML Mar22 Beginner

ABB

Scaler Data Science & Machine Learning Program (84) Scaler Data Science & Machine Learning Program (85)

While I don't come from a tech-savvy city like Bangalore, with Scaler's help I could dream of making a great career in Data Science

Scaler Data Science & Machine Learning Program (88)

Ayan Sengupta

System Dev Engineer

DSML Nov21 Intermediate

Trianz

Scaler Data Science & Machine Learning Program (89) Scaler Data Science & Machine Learning Program (90)

Courses like DSA and DSML with Scaler stood out to me because they'd provide you with every resource possible to enhance your learning. The only thing that you'd be required to dedicate all around the course would be commitment!

Scaler Data Science & Machine Learning Program (93)

Tai Rakesh Kumar

Data Engineer

DSML Feb22 Advanced

TCS

Scaler Data Science & Machine Learning Program (94) Scaler Data Science & Machine Learning Program (95)

Coming from a less privileged background, the course has done wonders for me. Would recommend the Scaler program, especially DSML to engineers wanting to enter and grow in the sector of AI & ML

Scaler Data Science & Machine Learning Program (98)

Arun M V

Applied scientist

DSML Nov21 Intermediate

Qualcomm

Scaler Data Science & Machine Learning Program (99) Scaler Data Science & Machine Learning Program (100)

Choosing the scaler course was the best decision I have made for my career growth.Throughout my journey with scaler, it was more like a fun way to learn and develop skills. With every session, I used to be more and more curious. It never felt like a chore to attend the classes. Even after having a tiring day, I always looked forward to learning and enjoying the scaler sessions at night.

All Alumni

Scaler Data Science & Machine Learning Program (103)

Ayan Sengupta

System Dev Engineer

DSML Nov21 Intermediate

Trianz

Scaler Data Science & Machine Learning Program (104) Scaler Data Science & Machine Learning Program (105)

Courses like DSA and DSML with Scaler stood out to me because they'd provide you with every resource possible to enhance your learning. The only thing that you'd be required to dedicate all around the course would be commitment!

Scaler Data Science & Machine Learning Program (108)

Tai Rakesh Kumar

Data Engineer

DSML Feb22 Advanced

TCS

Scaler Data Science & Machine Learning Program (109) Scaler Data Science & Machine Learning Program (110)

Coming from a less privileged background, the course has done wonders for me. Would recommend the Scaler program, especially DSML to engineers wanting to enter and grow in the sector of AI & ML

Scaler Data Science & Machine Learning Program (113)

Arun M V

Applied scientist

DSML Nov21 Intermediate

Qualcomm

Scaler Data Science & Machine Learning Program (114) Scaler Data Science & Machine Learning Program (115)

Choosing the scaler course was the best decision I have made for my career growth.Throughout my journey with scaler, it was more like a fun way to learn and develop skills. With every session, I used to be more and more curious. It never felt like a chore to attend the classes. Even after having a tiring day, I always looked forward to learning and enjoying the scaler sessions at night.

Scaler Data Science & Machine Learning Program (118)

Abhishek singh

FullStack Engineer

DSML Nov21 Beginner

Sun Life

Scaler Data Science & Machine Learning Program (119) Scaler Data Science & Machine Learning Program (120)

I took assistance from Scaler, and little did I know when I enrolled in the course that not only will I thoroughly enjoy my time there, but secure my dream placement as well :)

Scaler Data Science & Machine Learning Program (123)

Harsh Patel

Data Scientist

DSML Mar22 Beginner

ABB

Scaler Data Science & Machine Learning Program (124) Scaler Data Science & Machine Learning Program (125)

While I don't come from a tech-savvy city like Bangalore, with Scaler's help I could dream of making a great career in Data Science

Scaler Data Science & Machine Learning Program (128)

Ayan Sengupta

System Dev Engineer

DSML Nov21 Intermediate

Trianz

Scaler Data Science & Machine Learning Program (129) Scaler Data Science & Machine Learning Program (130)

Courses like DSA and DSML with Scaler stood out to me because they'd provide you with every resource possible to enhance your learning. The only thing that you'd be required to dedicate all around the course would be commitment!

Years of experience at the time of joining Scaler

4

College

Siksha 'O' Anusandhan University

Degree

B.Tech

Scaler Graduation Year

2021

Scaler Data Science & Machine Learning Program (132)

Tai Rakesh Kumar

Data Engineer

DSML Feb22 Advanced

TCS

Scaler Data Science & Machine Learning Program (133) Scaler Data Science & Machine Learning Program (134)

Coming from a less privileged background, the course has done wonders for me. Would recommend the Scaler program, especially DSML to engineers wanting to enter and grow in the sector of AI & ML

Years of experience at the time of joining Scaler

2

Degree

B.Tech

Scaler Graduation Year

2022

Scaler Data Science & Machine Learning Program (136)

Arun M V

Applied scientist

DSML Nov21 Intermediate

Qualcomm

Scaler Data Science & Machine Learning Program (137) Scaler Data Science & Machine Learning Program (138)

Choosing the scaler course was the best decision I have made for my career growth.Throughout my journey with scaler, it was more like a fun way to learn and develop skills. With every session, I used to be more and more curious. It never felt like a chore to attend the classes. Even after having a tiring day, I always looked forward to learning and enjoying the scaler sessions at night.

Years of experience at the time of joining Scaler

1

College

Sri Jayachamarajendra College Of Engineering Mysore

Degree

B.Tech

Scaler Graduation Year

2021

Scaler Data Science & Machine Learning Program (140)

Abhishek singh

FullStack Engineer

DSML Nov21 Beginner

Sun Life

Scaler Data Science & Machine Learning Program (141) Scaler Data Science & Machine Learning Program (142)

I took assistance from Scaler, and little did I know when I enrolled in the course that not only will I thoroughly enjoy my time there, but secure my dream placement as well :)

Years of experience at the time of joining Scaler

2

College

VIT Chennai

Degree

B.Tech

Scaler Graduation Year

2021

Scaler Data Science & Machine Learning Program (144)

Harsh Patel

Data Scientist

DSML Mar22 Beginner

ABB

Scaler Data Science & Machine Learning Program (145) Scaler Data Science & Machine Learning Program (146)

While I don't come from a tech-savvy city like Bangalore, with Scaler's help I could dream of making a great career in Data Science

Years of experience at the time of joining Scaler

2

College

School Of Engineering And Applied Sciences Ahmedabad University

Degree

B.Tech

Scaler Graduation Year

2022

5.

Can I acquire unique skills from this Data Science Course?

Become extraordinarily well-versed in DS & ML Research.

Learn to read relevant Research Papers in Data Science, Machine Learning, and Deep Learning, and get proper guidance to Publish Research Paper at Global conferences.

Scaler Data Science & Machine Learning Program (148)

Our top-notch Advisors hold us accountable.

Our top-notch Advisors ensure our commitment to excellence. With their guidance, we maintain the highest standards in our Data Science course, ensuring your success.

Scaler Data Science & Machine Learning Program (149) Scaler Data Science & Machine Learning Program (150)

Ramit Sawhney

read more

Scaler Data Science & Machine Learning Program (151)

Ramit Sawhney

Ramit Sawhney

  • Tower Research Capital / ShareChat
  • Scaler Data Science & Machine Learning Program (152) Scaler Data Science & Machine Learning Program (153)

    Pawan Kumar

    read more

    Scaler Data Science & Machine Learning Program (154)

    Pawan Kumar

    Pawan Kumar

  • Head of Data Science, Uber
  • Scaler Data Science & Machine Learning Program (155) Scaler Data Science & Machine Learning Program (156)

    Bhavik Rasyara

    read more

    Scaler Data Science & Machine Learning Program (157)

    Bhavik Rasyara

    Bhavik Rasyara

  • Boston Consulting Group
  • Scaler Data Science & Machine Learning Program (158) Scaler Data Science & Machine Learning Program (159)

    Yash Mimani

    read more

    Scaler Data Science & Machine Learning Program (160)

    Yash Mimani

    Yash Mimani

  • McKinsey & Company
  • 6.

    Is Scaler’s Data science course’s curriculum aligned with the industry?

    Up-to-date curriculum with the fast-evolving Data Science and ML field.

    Beginner

    15 Months

    Scaler Data Science & Machine Learning Program (161)

    Scaler Data Science & Machine Learning Program (162)

    Intermediate

    11 Months

    Scaler Data Science & Machine Learning Program (163)

    Scaler Data Science & Machine Learning Program (164)

    Advanced

    7 Months

    Scaler Data Science & Machine Learning Program (165)

    Scaler Data Science & Machine Learning Program (166)

    Module - 1

    Beginner Module

    4 Months

    Module - 2

    Data Analysis and Visualization

    4 Months

    Module - 3

    Foundations of Machine Learning and Deep Learning

    3 Months

    Module - 4

    Specializations

    3 Months

    Module - 5

    Machine Learning Ops

    1 Month

    Module - 6

    Advanced Data Structures and Algorithms

    4 Months

    4 Months

    Tableau + Excel

    • Basic Visual Analytics

    • More Charts and Graphs, Operations on Data and Calculations in Tableau

    • Advanced Visual Analytics and Level Of Detail (LOD) Expressions

    • Geographic Visualizations, Advanced Charts, and Worksheet and Workbook Formatting

    • Introduction to Excel and Formulas

    • Pivot Tables, Charts and Statistical functions

    • Google Spreadsheets

    SQL

    • Intro to Databases & BigQuery Setup

    • Extracting data using SQL

    • Functions, Filtering and Subqueries

    • Joins

    • GROUP BY & Aggregation

    • Window Functions

    • Date and Time Functions & CTEs

    • Indexes and Partitioning

    Beginner Python

    • Flowcharts, Data Types, Operators

    • Conditional Statements & Loops

    • Functions

    • Strings

    • In-built Data Structures - List, Tuple, Dictionary, Set, Matrix Algebra, Number Systems

    4 Months

    Placement assistance for Data Analyst/Product Analyst roles via Mastery based evaluation starts after completion of this module

    Python libraries

    • Numpy, Pandas

    • Matplotlib

    • Seaborn

    • Data Acquisition

    • Web API

    • Web Scraping

    • Beautifulsoup

    • Tweepy

    Probability and Applied Statistics

    • Probability

    • Bayes Theorem

    • Distributions

    • Descriptive Statistics, outlier treatment

    • Confidence Interval

    • Central limit theorem

    • Hypothesis test, AB testing

    • ANOVA

    • Correlation

    • EDA, Feature Engineering, Missing value treatment

    • Experiment Design

    • Regex, NLTK, OpenCV

    Product Analytics

    • Framework to address product sense questions

    • Diagnostics

    • Metrics, KPI

    • Product Design & Development

    • Guesstimates

    • Product Cases from Netflix, Stripe, Instagram

    3 Months

    You can move to the advanced track only after you clear the transition test

    Advanced Python

    • Python Refresher

    • Basics of Time and Space Complexity

    • OOPS

    • Functional Programming

    • Exception Handling and Modules

    Math for Machine Learning

    • Classification

    • Hyperplane

    • Halfspaces

    • Calculus

    • Optimization

    • Gradient descent

    • Principal Component Analysis

    Introduction to Neural Networks and Machine Learning

    • Introduction to Classical Machine Learning

    • Linear Regression

    • Polynomial, Bias-Variance, Regularisation

    • Cross Validation

    • Logistic Regression-2

    • Perceptron and Softmax Classification

    • Introduction to Clustering, k-Means

    • K-means ++, Hierarchical

    3 Months each

    You can pursue the Deep Learning specialisation after completing the Machine Learning specialisation or vice versa

    Machine Learning

    Machine Learning 1: Supervised

    • MLE, MAP, Confidence Interval

    • Classification Metrics

    • Imbalanced Data

    • Decision Trees

    • Bagging

    • Naive Bayes

    • SVM

    Machine Learning 2: Unsupervised and Recommender systems

    • Intro to Clustering, k-Means

    • K-means ++, Hierarchical

    • GMM

    • Anomaly/Outlier/Novelty Detection

    • PCA, t-SNE

    • Recommender Systems

    • Time Series Analysis

    And/Or

    Deep Learning

    Neural Networks

    • Perceptrons

    • Neural Networks

    • Hidden Layers

    • Tensorflow

    • Keras

    • Forward and Back Propagation

    • Multilayer Perceptrons (MLP)

    • Callbacks

    • Tensorboard

    • Optimization

    • Hyperparameter tuning

    Computer vision

    • Convolutional Neural Nets

    • Data Augmentation

    • Transfer Learning

    • CNN

    • CNN hyperparameters tuning & BackPropagation

    • CNN Visualization

    • Popular CNN Architecture - Alex, VGG, ResNet, Inception, EfficientNet, MobileNet

    • Object Segmentation, Localisation, and Detection

    • Generative Models, GANs

    • Attention Models

    • Siamese Networks

    • Advanced CV

    Natural Language Processing

    • Text Processing and Representation

    • Tokenization, Stemming, Lemmatization

    • Vector space modelling, Cosine Similarity, Euclidean Distance

    • POS tagging, Dependency parsing

    • Topic Modeling, Language Modeling

    • Embeddings

    • Recurrent Neural Nets

    • Information Extraction

    • LSTM

    • Attention

    • Named Entity Recognition

    • Transformers

    • HuggingFace

    • BERT

    1 Month

    After completion of this module Placement assistance for Data Scientist (ML/DS) roles via Mastery based evaluation will start

    Machine Learning Ops

    • Streamlit

    • Flask

    • Containerisation, Docker

    • Experiment Tracking

    • MLFlow

    • CI/CD

    • GitHub Actions

    • ML System Design

    • AWS Sagemaker, AWS Data Wrangler, AWS Pipeline

    • Apache Spark

    • Spark MLlib

    4 Months

    The recorded lectures of Advanced Programming will be shared along with Teaching Assistant support (no live sessions)

    Advanced Data Structures and Algorithms

    • Linked Lists

    • Stacks & Queues

    • Trees

    • Tries & Heaps

    Download Curriculum

    Module - 1

    Data Analysis and Visualization

    4 Months

    Module - 2

    Foundations of Machine Learning and Deep Learning

    3 Months

    Module - 3

    Specializations

    3 Months

    Module - 4

    Machine Learning Ops

    1 Month

    Module - 5

    Advanced Data Structures and Algorithms

    4 Months

    4 Months

    Placement assistance for Data Analyst/Product Analyst roles via Mastery based evaluation starts after completion of this module

    Python libraries

    • Numpy, Pandas

    • Matplotlib

    • Seaborn

    • Data Acquisition

    • Web API

    • Web Scraping

    • Beautifulsoup

    • Tweepy

    Probability and Applied Statistics

    • Probability

    • Bayes Theorem

    • Distributions

    • Descriptive Statistics, outlier treatment

    • Confidence Interval

    • Central limit theorem

    • Hypothesis test, AB testing

    • ANOVA

    • Correlation

    • EDA, Feature Engineering, Missing value treatment

    • Experiment Design

    • Regex, NLTK, OpenCV

    Product Analytics

    • Framework to address product sense questions

    • Diagnostics

    • Metrics, KPI

    • Product Design & Development

    • Guesstimates

    • Product Cases from Netflix, Stripe, Instagram

    3 Months

    You can move to the advanced track only after you clear the transition test

    Advanced Python

    • Python Refresher

    • Basics of Time and Space Complexity

    • OOPS

    • Functional Programming

    • Exception Handling and Modules

    Math for Machine Learning

    • Classification

    • Hyperplane

    • Halfspaces

    • Calculus

    • Optimization

    • Gradient descent

    • Principal Component Analysis

    Introduction to Neural Networks and Machine Learning

    • Introduction to Classical Machine Learning

    • Linear Regression

    • Polynomial, Bias-Variance, Regularisation

    • Cross Validation

    • Logistic Regression-2

    • Perceptron and Softmax Classification

    • Introduction to Clustering, k-Means

    • K-means ++, Hierarchical

    3 Months each

    You can pursue the Deep Learning specialisation after completing the Machine Learning specialisation or vice versa

    Machine Learning

    Machine Learning 1: Supervised

    • MLE, MAP, Confidence Interval

    • Classification Metrics

    • Imbalanced Data

    • Decision Trees

    • Bagging

    • Naive Bayes

    • SVM

    Machine Learning 2: Unsupervised and Recommender systems

    • Intro to Clustering, k-Means

    • K-means ++, Hierarchical

    • GMM

    • Anomaly/Outlier/Novelty Detection

    • PCA, t-SNE

    • Recommender Systems

    • Time Series Analysis

    And/Or

    Deep Learning

    Neural Networks

    • Perceptrons

    • Neural Networks

    • Hidden Layers

    • Tensorflow

    • Keras

    • Forward and Back Propagation

    • Multilayer Perceptrons (MLP)

    • Callbacks

    • Tensorboard

    • Optimization

    • Hyperparameter tuning

    Computer vision

    • Convolutional Neural Nets

    • Data Augmentation

    • Transfer Learning

    • CNN

    • CNN hyperparameters tuning & BackPropagation

    • CNN Visualization

    • Popular CNN Architecture - Alex, VGG, ResNet, Inception, EfficientNet, MobileNet

    • Object Segmentation, Localisation, and Detection

    • Generative Models, GANs

    • Attention Models

    • Siamese Networks

    • Advanced CV

    Natural Language Processing

    • Text Processing and Representation

    • Tokenization, Stemming, Lemmatization

    • Vector space modelling, Cosine Similarity, Euclidean Distance

    • POS tagging, Dependency parsing

    • Topic Modeling, Language Modeling

    • Embeddings

    • Recurrent Neural Nets

    • Information Extraction

    • LSTM

    • Attention

    • Named Entity Recognition

    • Transformers

    • HuggingFace

    • BERT

    1 Month

    After completion of this module Placement assistance for Data Scientist (ML/DS) roles via Mastery based evaluation will start

    Machine Learning Ops

    • Streamlit

    • Flask

    • Containerisation, Docker

    • Experiment Tracking

    • MLFlow

    • CI/CD

    • GitHub Actions

    • ML System Design

    • AWS Sagemaker, AWS Data Wrangler, AWS Pipeline

    • Apache Spark

    • Spark MLlib

    4 Months

    The recorded lectures of Advanced Programming will be shared along with Teaching Assistant support (no live sessions)

    Advanced Data Structures and Algorithms

    • Linked Lists

    • Stacks & Queues

    • Trees

    • Tries & Heaps

    Download Curriculum

    Module - 1

    Foundations of Machine Learning and Deep Learning

    3 Months

    Module - 2

    Specializations

    3 Months

    Module - 3

    Machine Learning Ops

    1 Month

    Module - 4

    Advanced Data Structures and Algorithms

    4 Months

    3 Months

    You can move to the advanced track only after you clear the transition test

    Advanced Python

    • Python Refresher

    • Basics of Time and Space Complexity

    • OOPS

    • Functional Programming

    • Exception Handling and Modules

    Math for Machine Learning

    • Classification

    • Hyperplane

    • Halfspaces

    • Calculus

    • Optimization

    • Gradient descent

    • Principal Component Analysis

    Introduction to Neural Networks and Machine Learning

    • Introduction to Classical Machine Learning

    • Linear Regression

    • Polynomial, Bias-Variance, Regularisation

    • Cross Validation

    • Logistic Regression-2

    • Perceptron and Softmax Classification

    • Introduction to Clustering, k-Means

    • K-means ++, Hierarchical

    3 Months each

    You can pursue the Deep Learning specialisation after completing the Machine Learning specialisation or vice versa

    Machine Learning

    Machine Learning 1: Supervised

    • MLE, MAP, Confidence Interval

    • Classification Metrics

    • Imbalanced Data

    • Decision Trees

    • Bagging

    • Naive Bayes

    • SVM

    Machine Learning 2: Unsupervised and Recommender systems

    • Intro to Clustering, k-Means

    • K-means ++, Hierarchical

    • GMM

    • Anomaly/Outlier/Novelty Detection

    • PCA, t-SNE

    • Recommender Systems

    • Time Series Analysis

    And/Or

    Deep Learning

    Neural Networks

    • Perceptrons

    • Neural Networks

    • Hidden Layers

    • Tensorflow

    • Keras

    • Forward and Back Propagation

    • Multilayer Perceptrons (MLP)

    • Callbacks

    • Tensorboard

    • Optimization

    • Hyperparameter tuning

    Computer vision

    • Convolutional Neural Nets

    • Data Augmentation

    • Transfer Learning

    • CNN

    • CNN hyperparameters tuning & BackPropagation

    • CNN Visualization

    • Popular CNN Architecture - Alex, VGG, ResNet, Inception, EfficientNet, MobileNet

    • Object Segmentation, Localisation, and Detection

    • Generative Models, GANs

    • Attention Models

    • Siamese Networks

    • Advanced CV

    Natural Language Processing

    • Text Processing and Representation

    • Tokenization, Stemming, Lemmatization

    • Vector space modelling, Cosine Similarity, Euclidean Distance

    • POS tagging, Dependency parsing

    • Topic Modeling, Language Modeling

    • Embeddings

    • Recurrent Neural Nets

    • Information Extraction

    • LSTM

    • Attention

    • Named Entity Recognition

    • Transformers

    • HuggingFace

    • BERT

    1 Month

    After completion of this module Placement assistance for Data Scientist (ML/DS) roles via Mastery based evaluation will start

    Machine Learning Ops

    • Streamlit

    • Flask

    • Containerisation, Docker

    • Experiment Tracking

    • MLFlow

    • CI/CD

    • GitHub Actions

    • ML System Design

    • AWS Sagemaker, AWS Data Wrangler, AWS Pipeline

    • Apache Spark

    • Spark MLlib

    4 Months

    The recorded lectures of Advanced Programming will be shared along with Teaching Assistant support (no live sessions)

    Advanced Data Structures and Algorithms

    • Linked Lists

    • Stacks & Queues

    • Trees

    • Tries & Heaps

    Download Curriculum

    4 Months

    Tableau + Excel

    • Basic Visual Analytics

    • More Charts and Graphs, Operations on Data and Calculations in Tableau

    • Advanced Visual Analytics and Level Of Detail (LOD) Expressions

    • Geographic Visualizations, Advanced Charts, and Worksheet and Workbook Formatting

    • Introduction to Excel and Formulas

    • Pivot Tables, Charts and Statistical functions

    • Google Spreadsheets

    SQL

    • Intro to Databases & BigQuery Setup

    • Extracting data using SQL

    • Functions, Filtering and Subqueries

    • Joins

    • GROUP BY & Aggregation

    • Window Functions

    • Date and Time Functions & CTEs

    • Indexes and Partitioning

    Beginner Python

    • Flowcharts, Data Types, Operators

    • Conditional Statements & Loops

    • Functions

    • Strings

    • In-built Data Structures - List, Tuple, Dictionary, Set, Matrix Algebra, Number Systems

    4 Months

    Placement assistance for Data Analyst/Product Analyst roles via Mastery based evaluation starts after completion of this module

    Python libraries

    • Numpy, Pandas

    • Matplotlib

    • Seaborn

    • Data Acquisition

    • Web API

    • Web Scraping

    • Beautifulsoup

    • Tweepy

    Probability and Applied Statistics

    • Probability

    • Bayes Theorem

    • Distributions

    • Descriptive Statistics, outlier treatment

    • Confidence Interval

    • Central limit theorem

    • Hypothesis test, AB testing

    • ANOVA

    • Correlation

    • EDA, Feature Engineering, Missing value treatment

    • Experiment Design

    • Regex, NLTK, OpenCV

    Product Analytics

    • Framework to address product sense questions

    • Diagnostics

    • Metrics, KPI

    • Product Design & Development

    • Guesstimates

    • Product Cases from Netflix, Stripe, Instagram

    3 Months

    You can move to the advanced track only after you clear the transition test

    Advanced Python

    • Python Refresher

    • Basics of Time and Space Complexity

    • OOPS

    • Functional Programming

    • Exception Handling and Modules

    Math for Machine Learning

    • Classification

    • Hyperplane

    • Halfspaces

    • Calculus

    • Optimization

    • Gradient descent

    • Principal Component Analysis

    Introduction to Neural Networks and Machine Learning

    • Introduction to Classical Machine Learning

    • Linear Regression

    • Polynomial, Bias-Variance, Regularisation

    • Cross Validation

    • Logistic Regression-2

    • Perceptron and Softmax Classification

    • Introduction to Clustering, k-Means

    • K-means ++, Hierarchical

    3 Months each

    You can pursue the Deep Learning specialisation after completing the Machine Learning specialisation or vice versa

    Machine Learning

    Machine Learning 1: Supervised

    • MLE, MAP, Confidence Interval

    • Classification Metrics

    • Imbalanced Data

    • Decision Trees

    • Bagging

    • Naive Bayes

    • SVM

    Machine Learning 2: Unsupervised and Recommender systems

    • Intro to Clustering, k-Means

    • K-means ++, Hierarchical

    • GMM

    • Anomaly/Outlier/Novelty Detection

    • PCA, t-SNE

    • Recommender Systems

    • Time Series Analysis

    And/Or

    Deep Learning

    Neural Networks

    • Perceptrons

    • Neural Networks

    • Hidden Layers

    • Tensorflow

    • Keras

    • Forward and Back Propagation

    • Multilayer Perceptrons (MLP)

    • Callbacks

    • Tensorboard

    • Optimization

    • Hyperparameter tuning

    Computer vision

    • Convolutional Neural Nets

    • Data Augmentation

    • Transfer Learning

    • CNN

    • CNN hyperparameters tuning & BackPropagation

    • CNN Visualization

    • Popular CNN Architecture - Alex, VGG, ResNet, Inception, EfficientNet, MobileNet

    • Object Segmentation, Localisation, and Detection

    • Generative Models, GANs

    • Attention Models

    • Siamese Networks

    • Advanced CV

    Natural Language Processing

    • Text Processing and Representation

    • Tokenization, Stemming, Lemmatization

    • Vector space modelling, Cosine Similarity, Euclidean Distance

    • POS tagging, Dependency parsing

    • Topic Modeling, Language Modeling

    • Embeddings

    • Recurrent Neural Nets

    • Information Extraction

    • LSTM

    • Attention

    • Named Entity Recognition

    • Transformers

    • HuggingFace

    • BERT

    1 Month

    After completion of this module Placement assistance for Data Scientist (ML/DS) roles via Mastery based evaluation will start

    Machine Learning Ops

    • Streamlit

    • Flask

    • Containerisation, Docker

    • Experiment Tracking

    • MLFlow

    • CI/CD

    • GitHub Actions

    • ML System Design

    • AWS Sagemaker, AWS Data Wrangler, AWS Pipeline

    • Apache Spark

    • Spark MLlib

    4 Months

    The recorded lectures of Advanced Programming will be shared along with Teaching Assistant support (no live sessions)

    Advanced Data Structures and Algorithms

    • Linked Lists

    • Stacks & Queues

    • Trees

    • Tries & Heaps

    4 Months

    Placement assistance for Data Analyst/Product Analyst roles via Mastery based evaluation starts after completion of this module

    Python libraries

    • Numpy, Pandas

    • Matplotlib

    • Seaborn

    • Data Acquisition

    • Web API

    • Web Scraping

    • Beautifulsoup

    • Tweepy

    Probability and Applied Statistics

    • Probability

    • Bayes Theorem

    • Distributions

    • Descriptive Statistics, outlier treatment

    • Confidence Interval

    • Central limit theorem

    • Hypothesis test, AB testing

    • ANOVA

    • Correlation

    • EDA, Feature Engineering, Missing value treatment

    • Experiment Design

    • Regex, NLTK, OpenCV

    Product Analytics

    • Framework to address product sense questions

    • Diagnostics

    • Metrics, KPI

    • Product Design & Development

    • Guesstimates

    • Product Cases from Netflix, Stripe, Instagram

    3 Months

    You can move to the advanced track only after you clear the transition test

    Advanced Python

    • Python Refresher

    • Basics of Time and Space Complexity

    • OOPS

    • Functional Programming

    • Exception Handling and Modules

    Math for Machine Learning

    • Classification

    • Hyperplane

    • Halfspaces

    • Calculus

    • Optimization

    • Gradient descent

    • Principal Component Analysis

    Introduction to Neural Networks and Machine Learning

    • Introduction to Classical Machine Learning

    • Linear Regression

    • Polynomial, Bias-Variance, Regularisation

    • Cross Validation

    • Logistic Regression-2

    • Perceptron and Softmax Classification

    • Introduction to Clustering, k-Means

    • K-means ++, Hierarchical

    3 Months each

    You can pursue the Deep Learning specialisation after completing the Machine Learning specialisation or vice versa

    Machine Learning

    Machine Learning 1: Supervised

    • MLE, MAP, Confidence Interval

    • Classification Metrics

    • Imbalanced Data

    • Decision Trees

    • Bagging

    • Naive Bayes

    • SVM

    Machine Learning 2: Unsupervised and Recommender systems

    • Intro to Clustering, k-Means

    • K-means ++, Hierarchical

    • GMM

    • Anomaly/Outlier/Novelty Detection

    • PCA, t-SNE

    • Recommender Systems

    • Time Series Analysis

    And/Or

    Deep Learning

    Neural Networks

    • Perceptrons

    • Neural Networks

    • Hidden Layers

    • Tensorflow

    • Keras

    • Forward and Back Propagation

    • Multilayer Perceptrons (MLP)

    • Callbacks

    • Tensorboard

    • Optimization

    • Hyperparameter tuning

    Computer vision

    • Convolutional Neural Nets

    • Data Augmentation

    • Transfer Learning

    • CNN

    • CNN hyperparameters tuning & BackPropagation

    • CNN Visualization

    • Popular CNN Architecture - Alex, VGG, ResNet, Inception, EfficientNet, MobileNet

    • Object Segmentation, Localisation, and Detection

    • Generative Models, GANs

    • Attention Models

    • Siamese Networks

    • Advanced CV

    Natural Language Processing

    • Text Processing and Representation

    • Tokenization, Stemming, Lemmatization

    • Vector space modelling, Cosine Similarity, Euclidean Distance

    • POS tagging, Dependency parsing

    • Topic Modeling, Language Modeling

    • Embeddings

    • Recurrent Neural Nets

    • Information Extraction

    • LSTM

    • Attention

    • Named Entity Recognition

    • Transformers

    • HuggingFace

    • BERT

    1 Month

    After completion of this module Placement assistance for Data Scientist (ML/DS) roles via Mastery based evaluation will start

    Machine Learning Ops

    • Streamlit

    • Flask

    • Containerisation, Docker

    • Experiment Tracking

    • MLFlow

    • CI/CD

    • GitHub Actions

    • ML System Design

    • AWS Sagemaker, AWS Data Wrangler, AWS Pipeline

    • Apache Spark

    • Spark MLlib

    4 Months

    The recorded lectures of Advanced Programming will be shared along with Teaching Assistant support (no live sessions)

    Advanced Data Structures and Algorithms

    • Linked Lists

    • Stacks & Queues

    • Trees

    • Tries & Heaps

    3 Months

    You can move to the advanced track only after you clear the transition test

    Advanced Python

    • Python Refresher

    • Basics of Time and Space Complexity

    • OOPS

    • Functional Programming

    • Exception Handling and Modules

    Math for Machine Learning

    • Classification

    • Hyperplane

    • Halfspaces

    • Calculus

    • Optimization

    • Gradient descent

    • Principal Component Analysis

    Introduction to Neural Networks and Machine Learning

    • Introduction to Classical Machine Learning

    • Linear Regression

    • Polynomial, Bias-Variance, Regularisation

    • Cross Validation

    • Logistic Regression-2

    • Perceptron and Softmax Classification

    • Introduction to Clustering, k-Means

    • K-means ++, Hierarchical

    3 Months each

    You can pursue the Deep Learning specialisation after completing the Machine Learning specialisation or vice versa

    Machine Learning

    Machine Learning 1: Supervised

    • MLE, MAP, Confidence Interval

    • Classification Metrics

    • Imbalanced Data

    • Decision Trees

    • Bagging

    • Naive Bayes

    • SVM

    Machine Learning 2: Unsupervised and Recommender systems

    • Intro to Clustering, k-Means

    • K-means ++, Hierarchical

    • GMM

    • Anomaly/Outlier/Novelty Detection

    • PCA, t-SNE

    • Recommender Systems

    • Time Series Analysis

    And/Or

    Deep Learning

    Neural Networks

    • Perceptrons

    • Neural Networks

    • Hidden Layers

    • Tensorflow

    • Keras

    • Forward and Back Propagation

    • Multilayer Perceptrons (MLP)

    • Callbacks

    • Tensorboard

    • Optimization

    • Hyperparameter tuning

    Computer vision

    • Convolutional Neural Nets

    • Data Augmentation

    • Transfer Learning

    • CNN

    • CNN hyperparameters tuning & BackPropagation

    • CNN Visualization

    • Popular CNN Architecture - Alex, VGG, ResNet, Inception, EfficientNet, MobileNet

    • Object Segmentation, Localisation, and Detection

    • Generative Models, GANs

    • Attention Models

    • Siamese Networks

    • Advanced CV

    Natural Language Processing

    • Text Processing and Representation

    • Tokenization, Stemming, Lemmatization

    • Vector space modelling, Cosine Similarity, Euclidean Distance

    • POS tagging, Dependency parsing

    • Topic Modeling, Language Modeling

    • Embeddings

    • Recurrent Neural Nets

    • Information Extraction

    • LSTM

    • Attention

    • Named Entity Recognition

    • Transformers

    • HuggingFace

    • BERT

    1 Month

    After completion of this module Placement assistance for Data Scientist (ML/DS) roles via Mastery based evaluation will start

    Machine Learning Ops

    • Streamlit

    • Flask

    • Containerisation, Docker

    • Experiment Tracking

    • MLFlow

    • CI/CD

    • GitHub Actions

    • ML System Design

    • AWS Sagemaker, AWS Data Wrangler, AWS Pipeline

    • Apache Spark

    • Spark MLlib

    4 Months

    The recorded lectures of Advanced Programming will be shared along with Teaching Assistant support (no live sessions)

    Advanced Data Structures and Algorithms

    • Linked Lists

    • Stacks & Queues

    • Trees

    • Tries & Heaps

    Download Curriculum

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    Amit Singh

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    • Ericson , TCS , Infosys
    • B.Tech , Computer Science
    • Microsoft Certified, Google & Cloudera (formerly hortonworks) Authorized Trainer
    • Azure ML Engineer/Architect/Fundamental and Google Cloud Certified Cloud Architect Data Engineer having 1+ years of working experience in google cloud technology as technical architect
    • 4 Years’ Experience in Software Development using C++, OCC, OpenGL,STL,XML,JNI, Core Java, Java Swing technologies and delivered multiple training on same
    • An AWS/GCP certified DataOps/MLOps Engineer with extensive understanding of highly available and scalable architectures in cloud and on prem too.

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    Mohit Kukkarl

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    • Gojek,Blinkit ( Previously known as Grofers )
    • B.Tech , Thapar Institue of Engineering Technology
    • A highly motivated analytics professional with 5 years of experience in delivering tangible insights in domains varying from supply chain planning to pharmaceutical sales operations.

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    Rahul Aggarwal

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    • UnitedHealth Group , Infosys
    • B.Tech Kurukshetra University
    • Experienced Data Scientist with 8+ years of experience in Healthcare, Energy and Communication domains.
    • killed in Predictive Modelling, Machine Learning, Deep Learning, Big Data Analytics, Requirement Gathering and Project Management.
    • Proficient in Python, R, Hive/SQL, SparkSQL, PySpark, SparkR, MS Excel

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    Suraaj Hasija

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    • Mastercard , GroundTruth , ZS
    • PGP in Data Science and Machine Learning , IITB
    • Deep technical expertise to generate power business insights from very large datasets with an aim to enable needle moving business impact through groundbreaking statistical analysis.

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    Suransh Chopra

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    • Arcesium
    • B.Tech Computer Science , DTU
    • Software Engineer skilled in Machine Learning: Computer Vision & Natural Language Processing, Java, Python, C++, Data Structures and Algorithms, Docker, Kubernetes, Object-Oriented Programming, and Design Patterns. Deep Learning & Algorithms enthusiast.

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    • B.Tech Velammal Institute of Technology
    • Data scientist with an extensive experience working in wide range of problem across functions and diverse domains including Healthcare, Marketing, Automobile.
    • Commendable understanding and implementation of building end to end Machine Learning solutions using various supervised/unsupervised state of the art algorithms to increase efficiency.

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    • B.Tech Anna University
    • Data Scientist II at InMobi , Previously worked as Data Scientist at Amazon.

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    11.

    Great, but what about the Scaler Data Science Course fee? Is it affordable?

    Consider it a short-term investment for your long-term career growth!

    Invest in your career and future, enroll with super affordable EMI options starting at Rs 8,628/- Try the course for the first 2 weeks - full money-back guarantee if you choose to withdraw.

    View EMI Plans

    EMI Options

    You can find both no-cost EMI & standard interest EMI from our NBFC partners. See below a summary of their best plans (more details available at the time of payment)

    Total Amount

    Upfront Downpayment

    Amount split over EMI

    Duration (Months)

    Monthly Payments

    No Cost Emi

    ₹369,000

    ₹35,000

    ₹334,000

    6

    9

    12

    18

    24

    ₹55,667

    ₹37,111

    ₹27,833

    ₹18,556

    ₹13,917

    Standard Emi

    ₹369,000

    ₹35,000

    ₹334,000

    36

    60

    ₹12,339

    ₹8,628

    Delivered via our EMI partners - Liquiloans, Eduvanz, EarlySalary, Avanse & Credit Fair
    You can also choose to avail EMI options from your credit card providers.

    Total Amount

    Scholarship

    Reduced Tution Fees

    Upfront Downpayment

    Amount split over EMI

    Duration (Months)

    Monthly Payments

    No Cost Emi

    ₹250,0000

    ₹0

    ₹250,0000

    ₹35,0000

    ₹215,0000

    12

    9

    12

    ₹35,0000

    ₹35,0000

    ₹35,0000

    No Cost Emi

    ₹250,0000

    ₹0

    ₹250,0000

    ₹35,0000

    ₹215,0000

    12

    9

    12

    ₹35,0000

    ₹35,0000

    ₹35,0000

    Delivered via our EMI partners - Liquiloans, Eduvanz, EarlySalary, Avanse & Credit Fair
    You can also choose to avail EMI options from your credit card providers.

    12.

    Can I connect with other top Data Scientists & ML Engineers?

    Network with alumni and peers from top companies

    Access Data Science related job opportunities from 600+ partner employers and exchange job opportunities with a 20k+ strong student community that will make you say Scaler Forever!

    Scaler Data Science & Machine Learning Program (226)

    13.

    Do you have any proof or reviews that your course works?

    Our Proven Track Record shows that we walk the talk

    Scaler Data Science & Machine Learning Program (227)

    Sumit Kumar

    Application Developer at Udaan

    A big shout out to my mentor Chandra Bhan Giri. I will always be grateful to you for your support and guidance. It would be impossible to count all the ways that you’ve helped me in my career.

    Scaler Data Science & Machine Learning Program (230)

    Dolly Vaishnav

    Software Developer at Ola

    …The biggest shoutout to my mentor Krunal Parmar for constantly pushing & guiding me throughout the journey. He is the best mentor I could ever get…

    Scaler Data Science & Machine Learning Program (231)

    Ready to become a data science and machine learning expert? Book a live class with Srikanth Varma and start your journney!

    Book Live Class Request Callback

    Scaler Data Science Training FAQ’s

    Program

    This Data Science course is designed for everyone, even if you have no coding experience. We offer a Beginner module that covers the basics of coding to get you started.

    Scaler's Data Science and Machine Learning program is considered one of the best data science courses because-

    • Covers all essential data science topics, ensuring a holistic learning experience.
    • Emphasis on hands-on projects equips students with real-world skills, setting them up for success in the field.
    • Industry experts as instructors provide invaluable insights and knowledge.
    • Scaler's industry connections and placement assistance enhance job prospects.
    • The program caters to diverse backgrounds, offering flexibility in learning for all.

    Yes, you have the flexibility to attend Scaler’s Data Science online course on a part-time basis. In case you miss a live class, you can always access the recorded sessions. You can also take a break of up to 3 months, all this within the course duration.

    While designing the Scaler Data Science course, we did not put any limit on the duration. We included each and every concept that is important for making you a strong Data Scientist and ML Engineer. The course turned out to be 15 months long with more hands-on experience.

    Live classes are held 3 times a week, on alternate days, primarily in the late evening or night on weekdays to accommodate working software engineers. Weekend timings are flexible.

    25 data science projects will be assigned in homework and others will be covered in class.

    In each case, we will focus on a particular portion that is relevant to the topic being covered that week.

    Each case study is discussed in class, at the end of the week (Business Case Discussion Session)

    Submissions from all students are posted on an internal Discussion Forum where you can read how other students have solved that particular problem.

    Students are allowed to drop 25% of the total case studies, depending on their interest area. So they can focus the remaining time on other cases of their interest.

    As students practice working under deadlines, their speed and productivity will hopefully start improving.

    While designing the Scaler Data Science course, we did not put any limit on the duration. We included each and every concept that is important for making you a strong Data Scientist and ML Engineer. The course turned out to be 15 months long with more hands-on experience.

    Notice that the course is quite rigorous; each week you will have 3 Live lectures of 2.5 hours each, homework assignments, business case project, and discussion sessions. This allows us to cover the entire depth and breadth of Data Science & Machine Learning, as much as is required for you to succeed in the role.

    The total Data Science course fees is ₹369,000. With EMI, this can drop as low as ~INR 8,628/month (equivalent to your monthly grocery bill!)

    Absolutely! Scaler offers a top-notch data science course designed to equip you with the skills and knowledge needed to excel in this field. Our program emphasizes hands-on learning with real-world projects and 1:1 mentorship from industry experts. We believe in providing practical experience that translates directly to the workplace. With our comprehensive curriculum and career support services, Scaler is an excellent choice for anyone looking to kickstart or advance their career in data science.

    Why Choose Scaler for Data Science?

    - Get to work on 50+ hands-on projects and real-world case studies to enrich your learning experience.
    - Get 1:1 Mentorship from Expert Data Scientists and ML Engineers!
    - Up-to-date curriculum with the fast-evolving Data Science and ML field.
    - Master essential tools and languages used in data science and machine learning.
    - Get Expert career guidance to help you navigate your path in data science.

    Eligibility

    Yes, there is an eligibility test called the Scaler entrance test for enrolling in Scaler's Data Science program.

    In Scaler's Data Science certification course, you'll acquire a wide range of skills, including:

    • Beginner skills in Tableau, Excel, SQL, and Python.
    • Data analysis and visualization using Python libraries, probability, and statistics.
    • Foundations of machine learning, deep learning, and neural networks.
    • Specializations in either machine learning or deep learning.
    • Advanced knowledge in machine learning operations, data structures, and algorithms to excel in the field.

    Scaler’s Data Science and Machine learning program is open to both freshers and working professionals. who are comfortable and confident with 10 standard aptitudes and mathematics.

    A coding background is not required to enroll in this Data Science training. You can start from the Beginner module in which we will cover the basics of coding.

    In fact, prior knowledge in Data Science or ML is also not needed. We will cover all the relevant topics from scratch.

    The only prerequisite is that you should have a basic understanding of 9th and 10th-grade school maths - just the basics, nothing advanced. Still, we will cover these topics in class, but some prior knowledge would be helpful.

    Data Science

    Data science is a field of computer science that uses various algorithms, methods, and machine learning to uncover hidden and meaningful insights in both structured and unstructured data.

    Data science can be challenging, as it requires a solid understanding of mathematics, statistics, and programming. However, with dedication and the right resources, it's accessible to those willing to learn.

    A data scientist is an expert in data science who specializes in collecting and analyzing large amounts of data from diverse sources. They use their skills in mathematics, statistics, and computer science to help organizations make informed decisions based on data analysis.

    To become a Data Scientist, follow these steps:

    • Learn the fundamentals of programming and statistics.
    • Acquire knowledge in machine learning and data analysis.
    • Build a strong portfolio of projects.
    • Pursue relevant courses.
    • Apply for Data Scientist positions.

    A Data Scientist designs new data approaches, while a Data Analyst interprets existing data. Data Scientists create innovative ways to collect and analyze data, while Data Analysts extract insights from available data.

    Job and Career

    Yes, Data Science is an excellent career choice in 2023. The field is growing rapidly, with high demand for professionals due to its continued relevance and the increasing importance of data-driven decisions.

    After completing the data science course, you can explore various job roles, including:

    • Business Analyst
    • Data Analyst
    • Data Scientist
    • Big Data Engineer
    • Data Engineer
    • Machine Learning Engineer
    • Data Architect, and many more.

    Top companies like Amazon, Google, IBM, Oracle, Deloitte, Facebook, Microsoft, Wipro, Accenture, Visa, Bank of America, and Fractal Analytics are actively hiring data scientists.

    At Scaler, we are committed to supporting our students in their career journeys through extensive placement support and our network of 900+ partner companies. While we do not provide job guarantees, we offer valuable resources and training to improve job prospects.
    Our students benefit from personalized career guidance, regular mentorship, interview preparation assistance, resume building support, and mock interviews conducted by industry experts. The active Scaler community, with over 40,000 members, provides networking opportunities and continuous support.
    Notably, our DSML alumni have secured a median salary hike of 110% and medium CTC of INR 18 lakhs per annum.
    Take a look at the Scaler Career Assessment Report audited by B2K Analytics for more insights.

    The average salary for a data scientist in India is ₹9.4 Lakhs per year, with a salary range of ₹3.7 Lakhs to ₹25.1 Lakhs.

    Certification

    To earn Scaler's Data Science certification, you need to successfully complete all the required course modules, assignments, and projects. You'll be assessed based on your performance throughout the program.

    Scaler's Data Science certification is a lifetime certification, meaning it doesn't expire. Once you earn it, you can proudly showcase your expertise in data science throughout your career.

    No, you won't receive a Data Science course completion certificate without a certain grade or score, but you can obtain an enrollment document.

    Scaler's Data Science certification is highly regarded in the industry. It's recognized for its comprehensive curriculum and hands-on approach, making you job-ready.

    Lectures

    If you miss a lecture, you can still watch it offline, and it won't affect your attendance.

    Yes, you can access course materials and lectures for up to 6 months after completing the course.

    If you find it challenging to balance your job or schedule with class timings, you can catch up by watching the recorded lectures as classes are held three times a week on alternate days.

    Scaler’s data science program is instructor-led, ensuring you have guidance and support throughout your learning journey.

    All the Maths required for understanding and implementing algorithms will be covered in this Data Science training (Probability, Statistics, Linear Algebra, Calculus, Coordinate Geometry).

    Community

    Scaler offers multiple support channels for students, including community Slack and WhatsApp groups for collaboration, dedicated problem-solving support on the dashboard, and Scaler support through email, chat, and phone for any concerns or queries.

    Yes, there is a Scaler community where students can interact and collaborate with each other.

    The scaler community has people working worldwide. The bottleneck is in getting a visa sponsorship. Many companies based in India offer opportunities for their high-performing employees to work on international data science projects and relocate. Some international companies also hire directly in India and ask to relocate for jobs. However, with the surge in WFH, this trend may be ebbing. However, you can continue applying for remote data science jobs based outside India via LinkedIn.

    Opportunities

    For learners who show interest in publishing in the data science domain, we would be happy to provide mentorship and support.

    Masters and Ph.D.s are typically asked for Research-focused data science roles. Most companies do not require a Master's degree for a Data Science role.

    😎 Look who is famous!

    Scaler Data Science and Machine Learning is the talk of the town!

    Scaler Acquire edtech platform applied roots to scale up its data science, AI and ML programmes to a wider base of tech learners

    Times Of India

    Scaler has launched a new program for engineers in data science and Machine learning which will have a foundation of DSA, followed by mathematics, big data, data mining, machine learning, deep learning

    The Economic Times

    Building a better India with data science and machine learning

    The Hindu

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