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Walmart Sales Forecasting Data Science Project

Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
4.54.5

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What will you learn

  • Timeseries Dataset
  • Conditional statements in R
  • Loops in R
  • Data manipulation in R
  • plyr - R package
  • Forecast - R package
  • Reshape - R package
  • Machine learning in R

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Prerequisites

  • R-Studio
  • Language used: R

Project Description

We have been provided with historical sales Data of 45 Walmart stores located in different regions. Each store contains many departments and we have to project the sales for each department in each store.

To add to the challenge, selected holiday markdown events are included in the dataset. These markdowns are known to affect sales, but it is challenging to predict which departments are affected and the extent of the impact.

Instructors

 
Dushyant

Advanced Analytics SME

"He is currently associated with International Store Analytics lab. He is a seasoned Data Science professional with a Master's Degree in Predictive Modeling and 4+ years of experience in building and deploying end-to-end Machine Learning models"

Curriculum For This Mini Project

 
  Introduction
00:00:21
  Import Data Files
00:11:10
  Explore Data Set
00:02:19
  Calculate Average sales by Store
00:05:55
  Calculate Average sales by Department
00:02:40
  Average Sales by Store and Department
00:07:15
  Test Data Set
00:04:30
  Sample Submission Data
00:05:08
  Check null values
00:07:01
  Submitting to Kaggle
00:03:06
  Problem with current solution
00:01:22
  Recap of Code
00:07:23
  Avg Sales by Store, Department, Holiday & week
00:18:11
  Forecast Methods - Overview
00:06:59
  Arima Model
00:19:04
  Holt-Winters Forecasting
00:03:10
  How Machine Learning works
00:01:45