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Data Science with R

Data Science with R

4.8 Ratings

8477 learners

Learn R, the most widely used open source analytics tool in the world

Become a pro at R – the most widely used open source language in analytics. R is preferred by startups and smaller companies. This course is useful at multiple career stages – hence it’s recommended for professionals, students, and managers.

PRE-REQUISITES

None. No prior knowledge of Statistics, the language of R or analytic techniques is required.

TOOLS

Excel, R

ACCESS DURATION

6 months

COURSE DURATION

12 weeks

Data Science with R

$ 505

CURRICULUM

The course contains 5 modules.

Most students are able to complete all modules in 12 weeks or less

MODULE 01. An Overview of Analytics and Data Science

An Overview of Analytics

Analytics Technology and Resources

Models and Algorithms

Data Exploration and Preparation

MODULE 02. Business Statistics and Application

Probability and Sampling

Inferential Statistics

Hypothesis testing

Advanced Hypothesis Testing

MODULE 03. An Introduction to R

Data Structures in R

Data Manipulation in R

Data Visualization in R

MODULE 04. Predictive Models and Machine Learning

Linear Regression Models

Logistic Regression Models

Clustering Models

Decision Tree

MODULE 05. Putting the Jigsaw Together

Model Validation Techniques

Presentation Skills

Advanced Excel Skills

CASE STUDIES COVERED

Every case study gives you a chance to work on large, real-life business data sets in the advanced Jigsaw lab.

Zoom away to reach the price.

Predict the price of a car using variables like the model, make and its engine capacity, among others. The data set has 12 columns – use multiple linear regression to predict the target variable (price). Analyze the model further to improve its performance.

Who should we not bank on?

Predict the defaulting behaviour of a customer, using bank data with 21 columns. Analyze the data by logistic regression and decision trees, and gain insights through comparison of both the techniques.

Riding on the retail boom.

Analyze the sales mix by category and average sales per square foot of space for a grocery retailer with 515 stores across Karnataka and Tamil Nadu.

Betting gets scientific.

Make recommendations to a client on how to maximize money bet on any horse race. Generate insights from data having 23 columns with different track types and years in which the races were conducted.

For some, number portability is a boon.

Analyze customer attrition in the telecom industry, based on minutes used, age and other demographic information.

WHAT YOU GET

Classes

For instructor-led course: 16 live sessions of 2 hours each. These interactive classes are conducted by analytics experts in a virtual classroom. For video based course: There are no live classes. You get to study at your convenience, and learn at a pace that you are comfortable with.

Pre-recorded lectures

You get to view 21 hours of pre-recorded video lectures & 32 hours of pre-recorded classroom training, as many times as you wish to.

Jigsaw Learning Centre

Gain free access to a variety of supplemental resources like handouts, reference material, guides, lecture transcripts and student forums – for a period of 6 months.

Offline Access

Get offline access to all video lectures, and lecture transcripts (wherever available).

Faculty Support

Get your doubts solved by the Jigsaw Faculty via email, phone or chat – for a period of 6 months.

Q&A Sessions

For the instructor-led course: 2 hours of sessions every month, conducted by analytics mentors to resolve your questions and doubts.

Jigsaw Lab

Access to a cloud-based solution, for hands-on experience with real-life business data using the latest analytical tools – for a period of 6 months.

Career Counseling

Avail professional guidance on resume building, interview preparation and identification of relevant opportunities, for the analytics field.

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FINAL OUTCOME

After completing the course, you would have mastered the most widely used open source language in analytics. You would be well placed to enter the rapidly transforming world of startups and smaller companies.