About the course

Sales prediction is a very common real life problem that each company faces at least once in its life time. If done correctly, it can have a significant impact on the success and performance of that company.

In this course you will be working on the Big Mart Sales Prediction Challenge.

The course will equip you with the skills and techniques required to solve regression problems in R. You will be provided with sufficient theory and practice material to hone your predictive modeling skills.

Pre-requisites

This course assumes that you have familiarity with R.

Course curriculum

  • 1
    Big Mart Sales
    • Overview of the Course
    • Table of contents
    • Problem Statement
    • Hypothesis Generation
    • Loading Packages and Data
    • Understanding the Data
    • Univariate Analysis
    • Bivariate Analysis
    • Missing Value Treatment
    • Feature Engineering
    • Feature Engineering
    • Encoding Categorical Variables
    • PreProcessing Data
    • Model Building
    • Linear Regression
    • Regularized Linear Regression
    • Random Forest
    • XGBoost
    • Summary

FAQ

  • Who should take this course?

    This course is meant for people looking to learn solving regression problems using R.

  • Do I need to install any software before starting the course?

    You will need to download and install R and RStudio

  • What is the refund policy?

    The course is free of charge.

  • Do I need to take the modules in a specific order?

    We would highly recommend taking the course in the order in which it has been designed to gain the maximum knowledge from it.

  • Do I get certificate upon completion of the course?

    This is a free course and therefore there is no certificate involved.

  • What is the fee for this course?

    The course is free of charge.

  • How long I can access the course?

    You will have access to the course for a duration of 6 months.

  • Is there any placement support?

    This is an introductory course and this does not include any placement support. Once you have worked on a few data science projects and hackathons, you can always apply to jobs on Analytics Vidhya portal

Support