CSP 571- Data Preparation and Analysis 

Course Overview

Instructor Introduction

Module 1 Introduction

Why Do We Analyze Data

The Process of Data Analysis - Part 1

The Process of Data Analysis - Part 2

The First Step of Knowing Your Data - Part 1

The First Step of Knowing Your Data - Part 2

The First Step of Knowing Your Data - Part 3

The First Step of Knowing Your Data - Part 4

Syllabus

Data Files

Module 1 Introduction

Big Data and IEEE 754

CRISP-DM2

Selecting the Bin Size of a Time Histogram

Module 1 Summary

Why Do We Analyze Data Quiz

The Process of Data Analysis Quiz

Knowing Your Data Quiz

Module 1 Summative Assessment

Meet and Greet Discussion

Module 1 Python Lab

Module 2 Introduction

Discover and Measure Associations - Part 1

Discover and Measure Associations - Part 2

Measure Associations - Part 1

Measure Associations - Part 1 (Continued)

Measure Associations - Part 2

Measure Associations - Part 2 (Continued)

Module 2 Introduction

Chicago Taxi Trip Data

Correlation with Python

Eta-squared

Module 2 Summary

Correlation of Continuous Features Quiz

Correlation of Mixed Types Features

Means to an End for Feature Screening Quiz

Module 2 Summative Assessment

Module 2 Python Lab

Module 3 Introduction

What is in Your Basket - Part 1

What is in Your Basket - Part 2

How Are Association Rules Discovered - Part 1

How Are Association Rules Discovered - Part 2

What Can Association Rules Tell Me - Part 1

What Can Association Rules Tell Me - Part 2

PGML Chapter 3

Cross-Selling

Apriori Algorithm and Association Rules

Module 3 Summary

Market Basket Analysis Quiz

Association Rules Discovery Quiz

Module 3 Summative Assessment

Module 3 Python Lab

Module 4 Introduction

Partition Observations for Training Models - Part 1

Partition Observations for Training Models - Part 2

Create Segments of Observations for Business Reasons - Part 1

Create Segments of Observations for Business Reasons - Part 2

Put Observations with Similar Feature Values in Clusters - Part 1

Put Observations with Similar Feature Values in Clusters - Part 2

Put Observations with Similar Feature Values in Clusters - Part 3

PGML Chapter 4

Sampling Techniques

RFM

Clustering

Module 4 Summary

Partition Observations for Training Models Quiz

Segments of Observations Quiz

Clustering Quiz

Module 4 Summative Assessment

Module 4 Python Lab

Module 5 Introduction

Linear Regression Model​ - Part 1

Linear Regression Model​ - Part 2

Forward Selection - Part 1

Forward Selection - Part 2

Feature Importance -​ Part 1

Feature Importance -​ Part 2

Feature Importance -​ Part 3

Linear Regression Analysis

Least Squares Regression

Forward and Backward Stepwise Regression

Shapley Values

Module 5 Summary

Linear Regression Model Quiz

Feature Selection Quiz

Feature Importance Quiz

Module 5 Summative Assessment

Module 5 Python Lab

Module 6 Introduction

Logistic Regression -​ Part 1

Logistic Regression -​ Part 2

Forward Selection

Interpret Model and Assess Performance -​ Part 1

Interpret Model and Assess Performance -​ Part 2

PGML Chapter 6

Predictive Analytics

Forward Selection

Best R-squared for Logistic Regression

Module 6 Summary

Logistic Regression Quiz

Foward Selection Quiz

Blessing and Curse of Too Many Predictors Quiz

Module 6 Summative Assessment

Module 6 Python Lab

Module 7 Introduction

Motivation of Decision Trees -​ Part 1

Motivation of Decision Trees -​ Part 2

The CART Algorithm -​ Part 1

The CART Algorithm -​ Part 2

Cluster Profiling -​ Part 1

Cluster Profiling​ - Part 2

PGML Chapter 5

CART

CART as an Equation

Decision Trees for Clustering

Module 7 Summary

Motivation of Decision Trees Quiz

The CART Algorithm Quiz

Cluster Profiling Quiz

Module 7 Summative Assessment

Module 7 Python Lab

Module 8 Introduction

Prediction Models

Nominal Classification Models

Binary Classification Models -​ Part 1

Binary Classification Models -​ Part 2

Binary Classification Models -​ Part 3

Binary Classification Models -​ Part 4

Binary Classification Models -​ Part 5

PGML Chapter 7, 8

Outliers

ROC Curve

Using Life Analysis

Module 8 Summary

Metrics for Prediction Models Quiz

Metrics for Classification Models Quiz

Charts for Classification Models Quiz

Module 8 Summative Assessment

Module 8 Python Lab