Section 1 : Introduction

Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 2 Data science for marketing 1:53
Lecture 3 Obtain data

Section 2 : Software Installation

Lecture 4 Install R
Lecture 5 Install Python 2:28
Lecture 6 Install Tableau
Lecture 7 Orientation to UI for R, Python, and Tableau 6:39
Lecture 8 Exercise files

Section 3 : Data, Exploratory Analysis, and Performance Analysis

Lecture 9 Overview and case study 3:1
Lecture 10 Exploratory analysis with R 8:53
Lecture 11 Exploratory analysis with Python 9:26
Lecture 12 Exploratory analysis with Tableau 6:3
Lecture 13 Pros and cons 2:26

Section 4 : Inference and Regression Analysis

Lecture 14 Overview and case study 3:28
Lecture 15 Regression with R 7:7
Lecture 16 Regression with Python 7:9
Lecture 17 Regression with Tableau 4:42

Section 5 : Prediction

Lecture 18 Overview and case study 1:59
Lecture 19 Prediction with R 6:48
Lecture 20 Prediction with Python
Lecture 21 Prediction with Tableau 3:20

Section 6 : Cluster Analysis

Lecture 22 Overview and case study 3:24
Lecture 23 Cluster Analysis with R 5:27
Lecture 24 Cluster Analysis with Python 7:19
Lecture 25 Cluster Analysis with Tableau 3:0

Section 7 : Conjoint Analysis

Lecture 26 Overview and case study 2:20
Lecture 27 Conjoint analysis with R 7:3
Lecture 28 Conjoint analysis with Python 7:12
Lecture 29 Conjoint analysis with Tableau 3:13

Section 8 : Best Practices

Lecture 30 Agile marketing 2:33
Lecture 31 Design and conduct market experiments 2:14
Lecture 32 Stakeholder alignment 1:46