quick glance
  • Course duration: 16 weeks, 10 hours/week
  • Learning mode: Instructor-led / Self-paced
  • Tools used: R, Excel
  • Plus taxes, as applicable

  • View all offers here.
Who should do this course?
This course is meant for students and professionals looking to learn data analytics skills, and students or graduates who want to work as a data scientist.
What are the pre-requisites?
There are no pre-requisites. Anybody can enrol for this course. No prior knowledge of Statistics, the language of R or analytic techniques is required.
Need more information?
Every case study involves hands-on work on large business data sets in the Jigsaw Lab.
Predicting the price of a car
  • In this case study, we predict the price of a car based upon variables like the model, make and its engine capacity, among others. The data set has 12 columns, and to predict the target variable, multiple linear regression is used. The model is then analysed further to improve its performance.
Customer behaviour on a loan
  • Using bank data with 21 columns the objective is to predict the defaulting behaviour of a customer. The data is analysed by logistic regression as well as using decision trees giving the insights and comparison for both the techniques.
Analysis of grocery sales in different stores in Karnataka and Tamil Nadu
  • The analysis is on a mix of sales by category and average sales per square foot of space for a grocery retailer with 515 stores.
Predicting the money bet on a horse race
  • The aim of this study is to come up with recommendations to a client who is in the horse racing industry on how to maximize money bet on any race. Insights are generated from data having 23 columns with different track types and years in which the races were conducted.
Analysis of customer attrition in the telecom industry
  • The goal of the study is to analyse customer attrition based upon minutes used, age and other demographic information.
  • The instructor-led, interactive classes are conducted by analytics experts in a virtual classroom. The instructor-led course comprises 16 instructor-led sessions of 2 hours each.

    The video based course is self-paced. There are no live classes.

Recordings of instructor-led classes
  • All instructor-led classes are also recorded, and participants get access to recordings to review the material or to make up for any missed Q&A sessions.

Pre-recorded video lectures
  • Pre-recorded video lectures can be viewed at any time and as many times as the participant wants. You will have access to 21 hours of pre-recorded video lectures & 32 hours of pre-recorded classroom training.

Jigsaw Learning Center
  • Access to a variety of supplemental resources including handouts, reference material, guides, lecture transcripts and student forums for a period of 6 months.

Offline Access
  • Offline access to all video lectures (and lecture transcripts wherever available).

Offline Support
  • Access to the Jigsaw faculty via email, phone or chat for a period of 6 months.

Q&A Sessions
  • Instructor-led sessions conducted by analytics mentors to resolve questions and doubts. The instructor-led course includes 2 hours of Q&A every month.

Jigsaw Lab
  • Access to the Jigsaw Lab, a unique cloud-based solution, for hands-on experience on large business data sets using analytics tools for a period of 6 months.

Career Assistance
  • Access to career assistance services includes resume building, interview preparation and identification of relevant opportunities.

What is the duration of the course?
  • The duration of the instructor led course is 16 weeks. You will have 6 months to complete the course. The video based course is self-paced and will have to be completed in 6 months.

Will I get a chance to work with huge datasets?
  • You will work on multiple case studies as part of the course. The case studies will involve hands-on work with huge datasets.

Do you provide placement assistance?
  • Yes, we provide placement assistance to our students as well. Learn about Jigsaw's placement support here.

What is the refund policy?
  • We like to keep our students happy, so we have a 7-day no questions asked refund policy.

What are the core benefits of this course?
  • After completing this course you will acquire expertise with statistical concepts, predictive analytics skills and analytic tools (R and Hadoop). You will also be able to use statistical techniques to analyze data to make business decisions.
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