About Scaler

Scaler, powered by InterviewBit, is an outcome-focussed leading

ed-tech platform for tech professionals. Our industry-vetted

approach towards teaching and training young minds helps them

upskill and bag the career of their dreams. We are a transformative

learning platform devoted towards creating a growth ecosystem

to assist software professionals in unlocking their talent and

seizing opportunities at every stage of their careers. Learners

enroled with us are taught, guided, and mentored by top

professionals and experts working at leading organizations

including Google, Facebook, Intuit, Microsoft, Amazon, Hotstar, etc.

Our learners have witnessed a 5x RoI (Return on Investment) from

our program. Our offerings include - Scaler Academy and Scaler

Data Science.
Index
Data Science Overview 03
Fit For Data Science 05
Scaler Advantage 06
Curriculum Outline 07
Meet your Instructors 08
Who are the Mentors 11
The Advisory Commitee 12
Scaler Support & Network 13
Fee Structure 14
Curriculum Deep Dive 15
 DATA SCIENCE
OVERVIEW

95%
About of professionals wish

Industry to understand business

problems better

Insights 80%
stumbled as they
began working with
real-world datasets

The large percentage indicates a clear gap between classroom

teachings and industry applications. Enter Scaler.

Scaler Data Science 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 towards growth. With
our support, you can #CreateImpact in your career and the Data
Science world.

Scaler Data Science is designed after procuring industry insights

from 100 Data Science & Machine Learning Engineers who come
from top 50 tech companies and startups. You’ll gain the needed
exposure as you work on 80+ Business Case Studies built in
partnership with the top companies. Your skills clubbed with our
industry expertise will take your Upskilling game to the next level.

03
 DATA SCIENCE
OVERVIEW

Structured,
Industry-vetted Curriculum

Live Classes with Product

Industry Veterans

Scaler Program
Hyper-Personalised
Experience
Highlights
Here’s what you can
expect as you go about Regular 1:1 Mentorship
upskilling your career
with Scaler
80+ Business Case Studies
with Real-world Datasets

20K+ Scaler Learners &

Alumni Network

A Dedicated Team
of Recruiters

600+ Partner Employers &

Placement Assistance

04
 FIT FOR
DATA SCIENCE

WHERE WILL YOU FIT IN

SCALER DATA SCIENCE?
Our program ensures that you get to grips with the knowledge and
confidence to overcome the most formidable challenges a Data Science or
Machine Learning engineer can encounter in their journey from day one.

Entry Points based on your performance in our Coding Entrance Test:

Start from
Beginner Module
Recommended for Non-Coders

A 13 month track with Start from

a 1 month beginner Intermediate Module
module.
Recommended for 0-2 years
of Coding Experience Start from
A 12 month track for Core Module
those with minimal Recommended for 2+ years of
Coding Experience
exposure to Data
Science & Analytics. A 7-10 month
Advanced track with
Data Science Core.

Data Science is the nucleus of business,

and we spare no effort to put you at the center of it.

05
 SCALER
ADVANTAGE

ADDING SCALER SPICE TO DATA SCIENCE

As a Data Scientist, you’ll be using data to solve real-life business problems.
Scaler will build your skill to understand business and industry.

Assess your conceptual understanding as you work on

80+ Business Case Studies with datasets from real companies

Discuss problems in Live Case Study Discussion sessions

weekly with a Data Scientist

Gain a fresh perspective from the submission of your peers on a

private Discussion Forum and understand a different
problem-solving approach

Stay updated about grades, attendance, streak through the Live

Progress Report Card on your Dashboard

Stay on the track with clear deadlines - failing which will incur
a penalty

Immediate evaluation of your assignments to help assess your

progress amongst your peers

Earn extra credit for your dedication & effort to cover up for the
unanticipated gaps in your performance

Learn at your pace with the flexibility to pause your course

anytime you want

06
 CURRICULUM
OUTLINE

CURRICULUM THAT
COMPLEMENTS YOUR CAREER
TOPIC LECTURES TOTAL DURATION

Beginner Programming 24 8 Weeks (2 Months)

Intermediate Programming 24 8 Weeks (2 Months)

Date Science Common Core 42 14 Weeks (3.5 Months)

EDA 12 4 Weeks (1 Month)
Tools 12 4 Weeks (1 Month)
Maths 18 6 Weeks (1.5 Month)

SPECIALISATION LECTURES TOTAL DURATION

Data Science & Machine 58 19 Weeks (4.8 Months)

Learning with Analytics
Tableau 04
SQL 07
Excel 04
PA 08
ML 30
Capstone 05

*Deep Learning with AI 59 19.7 Weeks (4.9 Months)

Maths for Machine Learning 11

Machine Learning- Supervised 24
Machine Learning- Unsupervised 15
Neural Networks 09

ELECTIVES LECTURES TOTAL DURATION

Computer Vision (or) 12 4 Weeks (1 Month)

Natural Language Processing (or) 12 4 Weeks (1 Month)
ML Ops and Data Engineering (or) 12 4 Weeks (1 Month)
Advanced Programming (Optional) 48 16 Weeks (4 Months)

*You can only opt for this track once you qualify the entrance test and demonstrate you are ready to

07
explore the rigorous track!
 MEET YOUR
INSTRUCTORS

LEARN FROM EXPERTS

WHO’VE BEEN THERE, DONE THAT!
Wear your learner’s hat as our Industry Experts walk you through every
concept with a fresh perspective. Have a look at our teaching army
who’ll impart industry wisdom so that you gain real-world exposure.

Mudit Goel
Ex - ,

At LinkedIn and Intuit, Mudit was granted patents by

the US Government. He led the Data Science team at
D2L (ranked among the most innovative companies in
Data Science). Mudit founded Coding Elements, which
was selected by the Govt. of India to teach coding to 2
Million students. He currently leads the Data Science
and ML program at Scaler.

Anant Mittal

As a researcher at the University of Maryland, he

worked on cutting-edge systems to find biomarkers of
task activities in the brain. He designed and developed
COVID-19 & hygiene-related analytics solutions such as
temperature screening and violations related to
preventive measures.

08
 MEET YOUR
INSTRUCTORS

Srikanth Varma
Ex - Lead Machine Learning Scientist,

Srikanth enjoys teaching and loves solving problems

that matter, by building products and services from
the ground up. He is a lifelong learner, tinkerer and a
team builder, who has worked with Amazon, Yahoo,
and co-founded Applied Roots.

Mohit Uniyal
Co-founder, , Mentor - ,

Mohit is the co-founder of 2 ed-tech startups dedicated

to competitive coding preparation. He began his
mentoring journey as a Mentor@TensorFlow at Google
Code-in. An ex-instructor and Product Engineer at
Coding Blocks, he has extensive teaching experience.
Currently, he is a Data Scientist at Coding Minutes.

Harshit Tyagi
Ex-Data Engineer, , Instructor -

Harshit is a Lead Instructor (Data Science & Machine

Learning) at Scaler Data Science. He is the creator of
bestselling Data Science & Engineering courses at
LinkedIn Learning, OpenClassrooms, Manning, and
O'Reilly Media. An ex-Data Engineer at Elucidata, he
created biomedical apps for Research Scientists at
Yale, UCLA, and MIT.

09
 MEET YOUR
INSTRUCTORS

Suraaj Hasija
Ex Sr. Data Scientist ,

He leads Data Science Business Cases at Scaler Data

Science. Working as a Data Scientist 2 at MasterCard,
he has transformed industry insights into actionable
success for the business. Responsible for building
International Market Pricing Strategy, he leads some
of the exemplary large-scale Data Science projects
within MasterCard.

Prateek Narang
Ex-Software Engineer,

An ex-Googler, Prateek is the co-founder of 2 ed-tech

startups dedicated to competitive coding preparation.
He has completed his MS in Machine Learning from IIT
Delhi. Also, he is a popular Udemy Instructor, teaching
coding to 75K+ students. Currently, Prateek is an
Instructor and the Engineering Lead at Scaler.

Anshuman Singh
Co-Founder, , Ex -

He is the co-founder of Scaler Academy and a

two-time ACM ICPC world finalist. He was one of the
founding team members of Facebook Messenger
and worked directly with Mark Zuckerberg on
product development.

10
 WHO ARE THE
MENTORS

PERSONALISE YOUR EXPERIENCE

WITH 1:1 MENTORSHIP
Get clarity on your career path and tackle every stage of your
Upskilling journey with 1:1 guidance twice a month. Our mentors
will help you with your queries, give interview insights, provide
placement assistance and make sure you’re on the right track.

Sahil Chelaramani Girijesh Prasad

Data Scientist, Senior Manager, Data
Science,

He has worked on Bing Search and He has extensive experience in delivering

Azure Global Development teams. He end-to-end Data Science solutions - from
has experience in building large Deep infrastructure to models. He can also
Learning projects and robust Data share his experience about management
Science systems. and business.

Rajeev Baditha Hitesh Hinduja

Data Scientist, Senior Manager, Artificial
Intelligence,

He has theoretical as well as hands-on He is passionate about cutting-edge

knowledge of Data Science, and has research. He also leads a team of 20 to
worked at Walmart and Fractal deliver the best electric vehicles, while
Analytics. He has a Master’s degree leveraging end-to-end Machine
from Indian Statistical Institute. Learning pipelines.

11
 THE ADVISORY
COMMITTEE

ADVISORY BOARD:
CORNERSTONE OF SCALER DATA SCIENCE
How exciting it’d be for you to work on business problems that
come directly from your dream companies? It’ll give you a good
analysis of the (Data Science) pitch before you go about hitting a
home run in your career.

Our Advisory Committee consists of Data Science professionals

who give us a good peek into the industry insights to help us craft
about 80 business case studies. Take a look at our industry advisors
who help us (and you!) to be better than before.

Pawan Kumar Ramit Sawhney

Head of Data Science,
Ex -

Pawan is an experienced Data Scientist A seasoned software engineer, Ramit is

with a strong product sense and an a globally published and recognised
innate ability to communicate complex researcher at IIIT-Delhi, Georgia Institute
insights clearly. He has been leading and of Technology, the AI Institute at
spearheading the Data Science divisions University of Southern Carolina, and
at Uber and LinkedIn. Open Source Maintainer at AnitaB.org

He has been empanelled as the

He has been empanelled as an advisor for
research advisor for the Scaler Data
the Scaler Data Science Program.
Science Program.

12
 SCALER SUPPORT
& NETWORK

AMP UP YOUR CAREER

With the right support & career guidance, your Skills can have a
real-world impact. We’ll push your limits & prepare you to be the
player of your (Career) Innings.

Access job Optimise your resume,

opportunities from LinkedIn Profile & get
600+ Partner the needed Placement
Employers assistance

Practice mock Connect &

interviews collaborate with
with Industry 20K+ Scaler
Ninjas learers and alumni

Our Alumni are at reputed Tech Companies & promising Startups

13
 FEE
STRUCTURE

Total Tuition Fee

(Inclusive of GST)
INR 2.99L
Our payment plans include multiple easy financing options
that make Scaler accessible to everyone. With our affordable
solutions, your investment can be as low as INR 9,811 per month
- it looks like your monthly grocery bill, doesn’t it?

We also offer a 2 weeks trial period and a money-back

guarantee if you choose to drop out of the course.

3 Easy Steps to Enrol

Easy Registration Quick Evaluation Start Upskilling

Make a new account Take a simple 30 min Start your learning
on www.scaler.com or MCQ test focused on journey and get set
login using social aptitude and basic to scale greater
media / InterviewBit coding to find the professional heights
account right course for you in the Data Science
arena

14
 CURRICULUM
DEEP DIVE

A DEEPER DIVE INTO

THE CURRICULUM
Note: Listed below is the detailed insight of the
Data Science and Machine Learning curriculum with
SCALER
ADVANTAGE

The Curriculum is crafted to make you a dynamic Data Scientist.

We want to prepare you to tackle the toughest challenges a Data
Scientist or ML Engineer can face in their journey. It’s time you
cover-drive the ball (your skills) that it hits the boundary of your
dream career!

Beginner- Introduction to
01 Python Programming
TOPICS COVERED
Flowcharts, Data Types, Operators, Conditional Statements, Loops, Functions &
Recursions, Strings, In-built Data Structures- List, Tuple, Dictionary, Set, Practice

SCALER
ADVANTAGE
Gear up for Data Science & Machine Learning
interviews by getting your hands-on essential
Problem-Solving skills.

15
 CURRICULUM
DEEP DIVE

02 Intermediate Programming
TOPICS COVERED

Python Refresher, Lambda Functions. List Comprehension, Functional

Programming, Decorator, Args, Kwargs, Object Oriented Programming,
Exception Handling, Modules, Package, Library, Built-in Modules in Python,
Basic DSA & Problem Solving

SCALER
ADVANTAGE
This is where you get 100x better than mediocre Data
Scientists. Take the leap from a good to a great Data
Scientist by learning to solve problems in the simplest
& fastest way possible.

03 Common Core- Data Track

A. Python for Data Science & Machine Learning
TOPICS COVERED
Numpy, Pandas, Data Visualisation using Matplotlib & Seaborn,
Regular Expression/ Pattern Matching, Git and Github (Recorded Session)

SCALER
ADVANTAGE
Prior know-how of Python is not a mandate. We’ll
cover essential tools like Git. Solve complex business
problems using Numpy & Pandas.

16
 CURRICULUM
DEEP DIVE
B. Probability & Statistics
TOPICS COVERED
Probability Theory & Descriptive Statistics, Probability Distributions
Inferential Statistics

SCALER
ADVANTAGE
From Emergency Call Centre to Casino of Las Vegas-
Experience Probability & Statistics with a fresh
perspective.

C. Maths Refresher for Data Science & Machine Learning

TOPICS COVERED
Coordinate Geometry, Linear Algebra, LP Optimisation basics,
Estimation problems

SCALER
ADVANTAGE
Solidify your fundamentals & fall in love with
Mathematics as you solve engaging problems - from
Drone Delivery to Soccer Matches.

D. Data Acquisition & Unstructured Data

TOPICS COVERED
Databases & SQL, Web API, Scraping, Data Cleaning, Unstructured Data

SCALER
ADVANTAGE
Learn how to extract data from various sources (cloud
or local) & work with data in different formats (Tables,
Files, Images, Audio, Video, Text). Build a crawler to

17
scrape websites & deploy web apps.
 CURRICULUM
DEEP DIVE

E. Applied Data Science

TOPICS COVERED
Hypothesis Testing, Parametric vs non-parametric, Z-test, Chi-square,
Skewness, Kurtosis, Normality Test, Experiment Design, ANOVA,
Simulations, Power of Test, A/B testing, Diff n Diff, Multi-arm Bandits,
EDA, Covariance, Correlation, Pearson, Spearman Rank, Multi-dimensional,
Feature Engineering, Column normalisation, Standardisation, Covariance
Matrix, Missing Values, Outlier Treatment

SCALER
ADVANTAGE
Say Hello to the latest & advanced techniques used
by unicorns to conduct experiments & analyse data.

F. Data Visualisation with Tableau

TOPICS COVERED
Managing Data Sources & Visualisations, Analysing Data using Statistical Tools,
Creating Basic Charts, Dashboards, & Action

SCALER
ADVANTAGE
Get the hang of the predominant industry tool,
Tableau, for visualising, dashboarding & reporting to
ace your role as a Data Analyst, Data Scientist or
Machine Learning Engineer.

18
 CURRICULUM
DEEP DIVE

G. Product, Strategy, Business

TOPICS COVERED
Metric Design, Decode Product & Strategy Rounds

SCALER
ADVANTAGE
Outshine your Problem-Solving skills as you learn to
break down business situations, design correct
metrics & deal with uncertainty.

04 Data Science & Analytics

A. Tools for Data Analysts
TOPICS COVERED
Advanced SQL, Google Spreadsheets, Introduction to Excel and Formulas,
Tables, Charts, and Statistical Functions. Advanced Tableau, Mapping
Geographic Data, Using stories to build dashboards, Working with Times and
Dates, Creating Conditional Calculations Using Logical Functions, Creating Level
of Detail (LOD) Expressions, Summarising Data Using Table Calculations,
Managing Text Strings

SCALER
ADVANTAGE
From Excel to Advanced Tableau and SQL, master
everything that is industry-relevant.

19
 CURRICULUM
DEEP DIVE

B. Machine Learning
TOPICS COVERED
Supervised Learning, Linear Regression, Gradient Descent, Multicollinearity,
VIF, R-square, Heteroscedasticity, Sklearn, Polynomial Regression,
Bias-Variance trade-off, Regularisation, Logistic Regression, Squashing function,
AUC, ROC, Precision-Recall Curve, Confusion matrix, Specificity, KNN,
Decision Trees, Ensemble learning, Bagging, Boosting, SHAP Values,
Support Vector Machine, Bayesian Machine Learning

SCALER
ADVANTAGE
Work on projects that require Computer Vision or
Natural Language Processing.

C. Unsupervised Learning
TOPICS COVERED
KMeans, Customer Segmentation, Hierarchical, DBSCAN, Anomaly Detection,
Local Outlier Factor, Isolation Forest, Dimensionality Reduction, PCA, t-SNE

SCALER
ADVANTAGE
Practice critical segments from Anomaly Detection
to Dimensionality Reduction, and overcome
pre-interview jitters.

20
 CURRICULUM
DEEP DIVE

D. Recommender Systems
TOPICS COVERED
Collaborative/Content filtering, Propensity analysis, Cold start problem
Market Basket Analysis/Data Mining/Association Mining

SCALER
ADVANTAGE
From Content Filtering to Data Mining, learn to
incorporate all their principles and solve complex
real-world problems.

E. Predictive Modelling & Time Series Forecasting

TOPICS COVERED
EDA, Resampling, Autocorrelation, Forecasting, Seasonal Naive,
Double/Triple Exponential (Holt) Residual Analysis, Stationarity tests,
Autoregressive methods, moving average, ARIMA, SARIMA.

SCALER
ADVANTAGE
Ace critical topics centric to Business or Product
related problems and get interview-ready.

F. Product Cases & Analytics

TOPICS COVERED
Framework to address product sense questions, Diagnostics, Metrics, KPI,
Product Design & Development, and Product Cases (Walmart, Google,
Facebook, Amazon etc)

21
 CURRICULUM
DEEP DIVE

SCALER
ADVANTAGE
Learn how to break down critical business situations,
design the correct metrics, and deal with
uncertainty. We’ll help you stand out from the crowd
and deliver impact, with ease.

Data Science and Machine

05 Learning- Specialisation
A. Essential Maths for Machine Learning
TOPICS COVERED
Linear Algebra - Vector and Matrices, Dot product, Projections, System of
Equations, Matrix Transformation, Eigen Vectors and Values, Orthonormal
Basis Vectors, SVD, PCA,
Coordinate Geometry - Line, Plane, HyperPlane, Half space, Classification
using plane,
Calculus - Functions, Limits, Derivatives, Partial derivatives, Saddle points

SCALER
ADVANTAGE
Work on projects built in partnership with top
companies. Get your hands dirty by working with
messy and unclean real-world data.

22
 CURRICULUM
DEEP DIVE

B. Supervised Learning
TOPICS COVERED
Linear Regression, Gradient Descent, Multicollinearity, VIF, R-square,
Heteroscedasticity, Sklearn, Polynomial Regression, Bias-Variance trade-off,
Regularisation, Logistic Regression, Squashing function, AUC, ROC,
Precision-Recall Curve, Confusion matrix, Specificity, KNN, Decision Trees,
Ensemble learning, Bagging, Boosting, SHAP Values, Support Vector Machine,
Bayesian Machine Learning

SCALER
ADVANTAGE
From understanding the inner workings of your
favourite apps to coding them from scratch, we’ll
teach you all.

C. Unsupervised Learning
TOPICS COVERED
KMeans, Customer Segmentation, Hierarchical, DBSCAN, Anomaly Detection,
Local Outlier Factor, Isolation Forest, Dimensionality Reduction, PCA, t-SNE,
GMM, Information Theory, Expectation Maximisation

SCALER
ADVANTAGE
Detect fraud, understand complex datasets &
optimise sale campaigns by acing the popular
algorithms used by companies.

23
 CURRICULUM
DEEP DIVE

D. Recommender Systems
TOPICS COVERED
Collaborative/Content filtering, Propensity analysis, Cold start problem

SCALER
ADVANTAGE
Learn the science behind these notifications;
LinkedIn: Jobs you may be interested in, Netflix: You
might also like House of Cards, Amazon: People who
bought that also bought this.

E. Predictive Modelling & Time Series Forecasting

TOPICS COVERED
EDA, Resampling, Autocorrelation, Forecasting, Seasonal Naive, Double/Triple
Exponential (Holt) Residual Analysis, Stationarity tests, Autoregressive methods,
moving average, ARIMA, SARIMA.

SCALER
ADVANTAGE
Be it forecasting the exact number of orders to be
placed at a restaurant on New Year’s Eve or
forecasting the number of oxygen cylinders a hospital
will require. Scaler will ensure you get a hold of both
the situations like a Pro!

24
 CURRICULUM
DEEP DIVE

F. Deep Learning
TOPICS COVERED
Neural Networks - MLP, Backpropagation, Hyperparameter Tuning, Practical
Aspects of DL, Keras, Tensorflow, Pytorch

SCALER
ADVANTAGE
Acquire the in-demand skill of Reading & Writing a
relevant research paper. Understand the underlying
Maths & or write Neural networks from scratch.

06 Electives
A. Computer Vision
TOPICS COVERED
Convolutional Neural Nets, Data Augmentation, Transfer Learning, CNN
Visualisation, Popular CNN Architecture - Alex, VGG, ResNet, Inception,
DenseNet, EfficientNet, MobileNet, Object detection & Segmentation, GANs

SCALER
ADVANTAGE
Dive into the inner workings of the latest models
and techniques that enable a machine to "see".
Work on projects related to e-commerce, video
surveillance, and art museums.

25
 CURRICULUM
DEEP DIVE

B. Natural Language Processing

TOPICS COVERED
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,
Entity Recognition, Transformers, HuggingFace, BERT, Building Chatbots

SCALER
ADVANTAGE
From Grammarly’s responsive working to Google
Translate’s quick performance even for the lesser
known languages there is a lot more to learn here,
beyond just Chatbots.

C. Reinforcement Learning and Forecasting

TOPICS COVERED
Reinforcement Learning, Q-learning, Autonomous players, RNNs and
LSTMs for forecasting.

SCALER
ADVANTAGE
Remember learning to ride a bicycle? Paddling
through trembling feet to a firm balance, you used a
technique. We’ll apply the same technique to teach a
computer anything you want it to do!

26
 CURRICULUM
DEEP DIVE

D. Machine Learning Ops

TOPICS COVERED
Project scoping, Experiment tracking using MLFlow/W&B, Scripting
(Flask/FastAPI/Streamlit), Testing, Versioning, Docker, CI/CD pipelines,
AWS lambda, Model Monitoring, Drift

SCALER
ADVANTAGE
Don't stop at just building the models, learn to
develop end-to-end ML pipelines. Build applications
powered by your Machine Learning models. Work
with the latest Cloud Platforms to deploy these apps
and monitor your models

*These are Elective Subjects, you can either opt to study one or all of them.

27
 Thank
You

WW W.SCALE R . CO M
#CreateImpact