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Data and Analytics

Department of Management Information Systems, Temple University

Data and Analytics

MIS 2502.003 ■ Spring 2021 ■ AJ Raven
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Schedule

Review for Final Exam Final Exam Study GuideClass Meeting Link Zoom: https://temple.zoom.us/j/97791381885

Class link Canvas: https://templeu.instructure.com/courses/91657

DATES TOPIC COURSE MATERIALS DUE

Week 1

Jan 20

Course Introduction and Syllabus

The Things You Can Do about Data

Powerpoint:

00 Course IntroductionAJ

01 Things You Can Do With Data

 

Week 1

Jan 22

The Information Architecture of An Organization

Understanding Database Schema: Normalization, Primary/Foreign Keys, Joins

Powerpoint:

02 Information Architecture of an Organization

 

 

Week 2

Jan 25

Understanding Database Schema: Normalization, Primary/Foreign Keys, Joins

PowerPoint:

03 Relational Data Modeling

 

Week 2

Jan 27

In-class exercise #01: Creating database schema

Supplements:

ICA #1 Database Schema

ICA #1 Solution

Schema Template

Quick Guide to Vertabelo

 

Week 2

Jan 29

Getting data out of RDMS: SQL SELECT, DISTINCT MIN, MAX, COUNT, and WHERE

Make sure you’ve reviewed the guide for setting up a connection in MySQL Workbench.

Powerpoint:

04 SQL Out 1- Basic

Supplement:

Quick Guide to MySQL Workbench (Mac Instructions start on page 3)

 

Week 3

Feb 1

Getting data out of RDMS: SQL SELECT, DISTINCT MIN, MAX, COUNT, and WHERE

 

 

Week 3

Feb 3

In-class exercise #02: Pen and Paper Query ICA 2 Solution

Assignment 1 Due Tuesday Feb 2 11:59 PM. The documents are in Canvas

Assignment 1 Solution

Week 3

Feb 5

Getting data out of RDMS: joining tables

Powerpoint:

05 SQL Out 2 – Advanced

 

Week 4

Feb 8

In-class exercise #03 Working with SQL, part 1

ICA 3 Solution

 

Week 4

Feb 10

Getting data out of RDMS: Subselects    

Week 4

Feb 12

In-class exercise #04: Working with SQL, part 2

Assignment 2 Corrected Solution

Assignment 2 Due Thursday Feb 11 11:59 PM: SQL 1

Week 5

Feb 15

Semi-structured Data

Powerpoint:

06 Semi-Structured Data

(By Hyeonsik Shin)

 

Week 5

Feb 17

Discussion of ICA 4

Work on assignment 3

 

ICA 4 Solution

 

Week 5

Feb 19

Review for Exam 1

In-class exercise #05: Working with semi-structured data

Exam 1 Study Guide

Powerpoint: Review for Exam 1

 

Week 6

Feb 22

In-class exercise #05: Working with semi-structured data

Assignment 3 solution

ICA 5 Solution

Assignment 3 Due Sunday Feb 21 11:59 PM: SQL #2 

Week 6

Feb 24

Getting data out of NoSQL: PROJECT, MATCH, SORT, LIMIT and GROUP

Powerpoint: 

07 NoSQL 1 – Out- Basic

Quick Guide to MongoDB Compass Apple_s21

Quick Guide to MongoDB Compass Windows_s21

 

 

Week 6

Feb 26

You can take Exam 1 today or on March 1. Pick one date and attend the regular class on the other date. 

Getting data out of NoSQL: PROJECT, MATCH, SORT, LIMIT and GROUP

TEST EXAM SOLUTION Exam 1

Week 7

Mar 1

You can take Exam 1 today or on February 26. Pick one date and attend the regular class on the other date. 

Getting data out of NoSQL: PROJECT, MATCH, SORT, LIMIT and GROUP

  Exam 1

Week 7

Mar 3

In-class exercise #06: Working with NoSQL, part 1

ICA 6 Solution  

Week 7

Mar 5

     

Week 8

Mar 8

Getting data out of NoSQL: How to query nested document and array, JOIN

Powerpoint:

08 NoSQL 2 – Out- Advanced

 

Week 8

Mar 10

In-class exercise #07: Working with NoSQL, part 2 ICA 7 Solution  

Week 8

Mar 12

Reconciling Data: The extract, transform, load process (ETL)

Assignment 4 solution 

PowerPoint: 09 ETL

(By Hyeonsik Shin)

Assignment 4 Due Thursday Mar 11 11:59 PM: NoSQL #1

Week 9

Mar 15

 

Work on ICA 7 and Assignment 5

 

 

Week 9

Mar 17

Work on Assignment 5

 

NoSQL Syntax Summary

 

 

Week 9

Mar 19

Principles of Data Visualization

In-class exercise #08: Data Visualization

ICA #8 – Data Visualization Principles

10 Data Visualization

Assignment 5 Solution

ICA 8 Solution

Assignment 5 Due Thursday Mar 18 11:59 PM: NoSQL#2

Week 10

Mar 22

Introduction to Advanced Analytics and R

 

Please install R and RStudio before today’s class. See the installation guide Quick guide to using R and RStudio

Powerpoint:

11 Advanced Analytics and R

 

Week 10

Mar 24

Welness Day, No Class Meeting

Welness Day, No Class Meeting

 

Week 10

Mar 26

Review for Exam 2

Powerpoint: Review for Exam 2

Study Guide: Exam 2 Study Guide

Practice Exam 2 Questions Solution

 

Week 11

Mar 29

     

Week 11

Mar 31

Exam 2

 

 

Exam 2

Week 11

Apr 2

In-class exercise #10: Descriptive Statistics Using R and RStudio ICA 10 solution  

Week 12

Apr 5

Classification using Decision Trees

Powerpoint: 

13 Decision Trees

 

Week 12 

Apr 7

In-class exercise #11: Decision Trees in R and RStudio ICA 11 Solution  

Week 12

Apr 9

 

 

 

Week 13

Apr 12

 

Clustering and Segmentation

Powerpoint:

14 Clustering

Assignment 6 solution

Assignment 6 Due Sunday Apr 11 11:59 PM: Decision Trees

Optional Extra Credit Assignment Due Sunday Apr 11 11:59 PM

Week 13

Apr 14

In-class exercise #12: Clustering and Segmentation in R

ICA 12 solution

 

Week 13

Apr 16

Association Rules

 

Powerpoint:

15 Association Rule Mining

 

Week 14

Apr 19

In-class exercise #13: Computing Confidence, Support, and Lift

Assignment 7 Answer Sheet solution

Assignment 7 R file solution

ICA 13 solution

Assignment 7 Due Sunday Apr 18 11:59 PM: Clustering

Week 14

Apr 21

In-class exercise #14: Association Rule Mining in R

ICA 14 solution

 

Week 14

Apr 23

Review for Final Exam Assignment 8 solution

Final Exam Study Guide

Review for Final Exam

Practice Exam solution

Assignment 8 Due Thursday Apr 22 11:59 PM: Association Rules

Week 15

Apr 26

Review for Final Exam    

Monday May 3

Exam 3 at 1 PM   Exam 3

 

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Instructor

AJ Raven

Email: ajraven@temple.edu
Please use 2502 as the subject line
Virtual Office Hour Availability: Tuesdays 2:00 - 3:00 PM or email me. Location: MIS 2502 zoom room
TA
Name: Hyeonsik Shin ( ePortfolio)
Email: hshin@temple.edu
Virtual Office Hours Availability: Thursdays 10 - 11 AM
Location: Zoom Meeting
ITA
Name: Rose Listman ( ePortfolio)
Email: rose.listman@temple.edu
Virtual Office Hours Availability: Mondays 1PM - 2PM
Location: Zoom Meeting

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