Data Science

3 Weeks Live sessions | 4th Weekend Campus Immersion

An applied Data Science course that not only focuses on algorithms but also on the business value of data science. By integrating industry focus into education, this bootcamp helps you learn data science skills that you need to make an impact on the very first day of your learning. The ability to create ROI from your education for your organization is the foremost strategy to #step up your game at work.

Learn from anywhere on your schedule

Outcomes matter not the hours

Overview of Data Science

Working knowledge of data science algorithms applied on real data sets to infer and deduce insights. Enables you to have confident cross functional communication with Data Scientists and Decision Makers.

Statistical Paradigms

Choosing and using appropriate statistical techniques to deliver insights into relevant organizational processes and support decision making

Machine Learning

Understand the math behind machine learning. Identify and apply machine learning algorithms to build or enhance products/services/process in an organization and solve real-world business problems

Why this Bootcamp

Work on Real-life Data Science Problems

Get job ready by working on projects using the competency based learning paradigm. Your outcomes are far more important than the number of hours you spend.

Work 1:1 with a Mentor

We pair you with a mentor who has extensive professional and academic knowledge of the field. You’ll have one-on-one conversations with your mentor, and receive useful feedback on improving your work.

We’ll Keep You Engaged

Our mentors are here to keep you motivated, answer questions, provide feedback, and help deepen your understanding of essential tools and techniques.

See What You'll Learn

The only way to learn data science is to work with data, code and build real world projects. In this bootcamp you will master the data science process, which begins with a practical level understanding of applied statistics, machine learning using various data science methods, storytelling with data and working on industry data problems. Under the guidance of a mentor, you will create an industry-ready portfolio that will help you achieve your career outcomes from the bootcamp.

■ Explore basic statistical techniques like linear regression
■ Exploratory data analysis, and statistical inference
■ Learn how to perform diagnostics and transformations
■ Understand your data

■ Explore the R environment
■ RStudio, packages, and the Workspace
■ Understand basic R language elements
■ Data object types
■ Use R language for descriptive statistics
■ Exploratory data analysis, and statistical inference

■ Apply multiple linear regression
■ Generalized linear models
■ Logistic regression
■ Maximum likelihood estimation assumptions
■ Explore assumptions and diagnostics
■ Model interpretation & fit

■ Explore K Means Clustering method
■ Understand and apply dimension reduction using the Principal Component Analysis procedure

■ Explore Decision Trees
■ SVM and Naive Bayes algorithms

■ Understand bias and variance errors, overfitting and underfitting models. ■ Learn how to deal with errors and improve model accuracy
■ Student Projects ■ Presentations ■ Feedback

I must thank IPL for helping me transform from a technical lead in the land of green screens and JCL jobs to a senior manager heading a critical market data application in one of world’s leading investment bank.

Vinod Sharma

Chief Architect, TCS


Prof. Mukesh Rao

Institute of Product Leadership

Prof. Manohar Rao presently consults in the area of marketing analytics, and is also a visiting faculty at management schools in Bangalore, where he teaches courses in Business Statistics, Marketing Analytics, and Marketing Research. Together with business partners, he has worked on engagements for market leaders such as Abbott (China market), Britannia, Godrej Consumer Products, P&G (China market), Samsung, Tanishq, Tata Chemicals, Unilever (markets in India, Russia, South Africa and Turkey), and United Spirits. Management schools he teaches at include ISME and NMIMS in Bangalore. Among the companies he has worked in are Mettur Beardsell, NELCO, Norsk Data India, Indchem Electronics and Cybertech Systems and Software. Manohar earned B.Tech. and PGDM qualifications from IIT Madras (1979) and IIM Ahmedabad (1981) respectively.

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