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41 Videos (6h 51m)
    • T4.1 - Case Study Introduction

      8:29
    • T4.2 - Data Review and Understanding

      10:11
    • T4.3 - Exploratory Data Analysis

      13:10
    • T4.4 K-Means and Heirachical Clustering Algorithms Reviewed

      5:34
    • T4.5 - Implementing K-Means

      13:34
    • T4.6 K-means Clustering Results

      8:22
    • T4.7 Creating Personas from Cluster Results - Part 1

      8:16
    • T4.8 Creating Personas from Cluster Results - Part 2

      9:20
    • T4.9 Generating Business Insights from Clustering Outcomes

      8:31
    • T4.10 Building Technical Solutions and Strategies based on Clustering Outcomes

      4:46
    • T5.1 Case Study Introduction

      11:44
    • T5.2 Overview of Data and Variable Understanding

      13:30
    • T5.3 Exploratory Data Analysis - Part 1

      9:37
    • T5.4 Exploratory Data Analysis in R - Part 2

      8:57
    • T5.5 Implementing Linear Regression in R

      8:30
    • T5.6 Evaluating Regression Results - Part 1

      9:47
    • T5.7 Evaluating Regression Results - Part 2 (With Residual Plots)

      9:25
    • T5.8 Evaluating Regression Results - Part 3 (Statistical Independence of Results)

      11:30
    • T5.9 Validating Regression Results - Part 1

      10:51
    • T5.10 Validating Regression Results - Part 2

      8:56
    • T6.1 Case Study Introduction

      11:36
    • T6.2 Overview of Data and Variables

      9:35
    • T6.3 Exploratory Data Analysis and Initial Logistic Model

      14:52
    • T6.4 Model Iterations and Validation

      8:24
    • T6.5 Model Validation Using Test Data - Part 1

      7:30
    • T6.6 Model Validation Using Test Data - Part 2

      12:54
    • T7.1 Case Study Introduction

      7:29
    • T7.2 A Review of Association Techniques and Threshold Measurement

      6:52
    • T7.3 Overview of Data and Running MBA in R

      12:26
    • T7.4 Analysis and Interpretation of MBA Results

      13:54
    • T8.1 A Review of Optimization Concepts

      9:00
    • T8.2 Using Optimization to Rank SKUs with Maximum Sales and Minimum Margin

      12:13
    • T8.3 Preparing Data for Optimization

      10:13
    • T8.4 Understanding Relationship between Impressions and Units Sold

      7:52
    • T8.5 Building Optimized Data

      8:51
    • T8.6 Implementing Optimization in Excel

      12:52
    • T9.1 What is Machine Learning

      12:33
    • T9.2 End-To-End Model Building Process

      13:48
    • T9.3 Machine Learning Steps Part 1

      10:52
    • T9.4 Machine Learning Steps Part 2

      8:31
    • T10.1 Careers in E-commerce Analytics

      6:00

About This Class

Learn how to apply reporting and analysis techniques to the eCommerce domain to make informed business decisions. This course is ideal for analytics students and who want to move into an eCommerce-based domain role or domain professionals who want to enhance their current profile with analytics skills.

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Jigsaw Academy

Indias #1 Analytics Training Institute

Jigsaw Academy is a global award-winning online analytics and big data training provider. We are a group of data scientists and educators who are on a mission to train the next generation of analytics practitioners.

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