Section 1 : Introduction
Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 2 Data science for marketing 00:01:53 Duration
Lecture 3 Obtain data

Section 2 : Software Installation
Lecture 1 Install R
Lecture 2 Install Python 00:02:28 Duration
Lecture 3 Install Tableau
Lecture 4 Orientation to UI for R, Python, and Tableau 00:06:39 Duration
Lecture 5 Exercise files

Section 3 : Data, Exploratory Analysis, and Performance Analysis
Lecture 1 Overview and case study 00:03:01 Duration
Lecture 2 Exploratory analysis with R 00:08:53 Duration
Lecture 3 Exploratory analysis with Python 00:09:26 Duration
Lecture 4 Exploratory analysis with Tableau 00:06:03 Duration
Lecture 5 Pros and cons 00:02:26 Duration

Section 4 : Inference and Regression Analysis
Lecture 1 Overview and case study 00:03:28 Duration
Lecture 2 Regression with R 00:07:07 Duration
Lecture 3 Regression with Python 00:07:09 Duration
Lecture 4 Regression with Tableau 00:04:42 Duration

Section 5 : Prediction
Lecture 1 Overview and case study 00:01:59 Duration
Lecture 2 Prediction with R 00:06:48 Duration
Lecture 3 Prediction with Python
Lecture 4 Prediction with Tableau 00:03:20 Duration

Section 6 : Cluster Analysis
Lecture 1 Overview and case study 00:03:24 Duration
Lecture 2 Cluster Analysis with R 00:05:27 Duration
Lecture 3 Cluster Analysis with Python 00:07:19 Duration
Lecture 4 Cluster Analysis with Tableau 00:03:00 Duration

Section 7 : Conjoint Analysis
Lecture 1 Overview and case study 00:02:20 Duration
Lecture 2 Conjoint analysis with R 00:07:03 Duration
Lecture 3 Conjoint analysis with Python 00:07:12 Duration
Lecture 4 Conjoint analysis with Tableau 00:03:13 Duration

Section 8 : Best Practices
Lecture 1 Agile marketing 00:02:33 Duration
Lecture 2 Design and conduct market experiments 00:02:14 Duration
Lecture 3 Stakeholder alignment 00:01:46 Duration