Section 002 Frank Hoban

Schedule

 

Day

Topics

Course Materials

Assignments

Week 1

Jan 22

Course Introduction and Syllabus

The Things You Can Do with Data.

The Information Architecture of an Organization.

PowerPoint: The Things You Can Do With Data

PowerPoint: Information Architecture

 

 

Data Modeling

Gathering requirements
Introducing The Entity-Relationship Diagram

 

In-class exercise: What is an entity?

PowerPoint: Relational Data Modeling

 

Week 2

Jan 29

More on ERDs:
Relationships, cardinality, normalization

In-class exercise: Converting ERDs to schemas

PowerPoint: Relational Data Modeling

 

 

In-class exercise:

Creating an Entity Relationship Diagram

PowerPoint: Relational Data Modeling

 

Week 3

Feb 3

Drop Deadline

 

 

Feb 5

Getting data out of the database:

SQL SELECT, DISTINCT MIN, MAX, COUNT, and WHERE

 

Make sure you’ve done the MySQL tutorial and reviewed the MySQL PowerPoint deck.

In-class exercise: Pen-and-paper SQL exercise

PowerPoint: SQL 1

 

 

Getting data out of the database:

Joining tables, SQL subselects, LIMIT

 

Assignment 1 Due: ER Modeling

Week 4

Feb 12

In-class exercise: Working with SQL, part 1

 

 

 

Creating and updating the database

SQL CREATE, DROP, and ALTER

SQL INSERT, UPDATE, and DELETE

PowerPoint: SQL 2

 



Week 5

Feb 19

In-class exercise: Working with SQL, part 2

 

Assignment 2 Due: SQL #1

 

Review for Exam 1

 

 


Week 6

Feb 26

Exam 1

 

 

 

Principles of Data Visualization

 

PowerPoint: Data Visualization

 


Week 7

Mar 5

SPRING BREAK

 

Week 8

Mar 12

In-class exercise: Data Visualization

 

Assignment 3 Due: SQL #2

 

Turning transaction data into analytical data: Overview of the Dimensional Model

 

The structure of the Dimensional Model: The Star Schema

PowerPoint: Dimensional Data Modeling

 

Week 9

Mar 19

Working with Dimensional Data:
Pivot Tables in Excel

 

In-class exercise: Pivot Tables in Excel

 

 

 

Getting data into the warehouse and cube:

The Extract, Transform, Load process

 

Data quality: Best practices, data cleansing, and integration

PowerPoint: ETL

 

Week 10

Mar 25

Withdraw Deadline

 

 

Mar 26

In-class exercise: ETL

 Assignment 4 Due: Pivot Tables in Excel

 Introduction to Advanced Analytics and SAS Enterprise Miner

In-class exercise: Descriptive Statistics Review

PowerPoint: Advanced Analytics – Introduction

 


Week 11

Apr 2

In-class exercise: Introduction to SAS Enterprise Miner/Preparing Data for Analysis

 Assignment 5 Due: Data Visualization

 Review for Exam 2



Week 12

Apr 9

Exam 2

 

 

 

Analysis Scenario: Determining customer behavior based on a profile (decision trees)

 

In-class exercise: Interpreting Decision Tree Output

PowerPoint: Classification using Decision Trees

 


Week 13

Apr 16

In Class:   Decision Trees , Association Rules

Homework: Decision Trees due April 19th

Week 14

 Apr 23

In Class: Clustering

Homework: Association Rule Mining Due

 Week 15

Apr 30

In Class: Clustering, Exam Review 

Homework:  Clustering Due