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Data Science Spring 2020 - Section 5

Department of Management Information Systems, Temple University

Data Science

MIS 0855.005 ■ Spring 2020 ■ Sezgin Ayabakan
  • About
    • Syllabus
    • Instructor
    • Course details
    • Course materials
    • Grading
    • Getting Tableau
  • Announcements
  • Schedule
  • Assignments
    • Assignment 1
    • Assignment 2
    • Assignment 3 (Final Project)
    • Extra Credit Assignment
  • In-class Exercises (ICEs)
  • Readings
    • Readings Module 1
    • Readings Module 2
    • Readings Module 3
    • Readings Module 4

Schedule

WEEK DATES TOPIC / SLIDES ICEs READINGS DUE
1

Jan 14

Jan 16

Introduction

Data is Everywhere

ICE 1.1 – Data is Everywhere

Session 1 Readings 

 
2

Jan 21

Jan 23

A Brief Introduction to Data

Identifying Sources of Data

Excel Basics – review on your own

ICE 2.1: Building a Data Dictionary  

ICE 2.2: Excel Intro

Session 2 Readings 

Jan 21: Quiz 1

Jan 21: ICE 2.1

3

Jan 28

Jan 30

Learning to (Mis)trust Data

Introduction to Tableau – in class demonstration

ICE 3.1: Assessing Trustworthiness of Data Sources

ICE 3.2: Getting Familiar with Tableau  

Session 3 Readings 

Jan 28: Quiz 2

Jan 28: ICE 3.1

Jan 30: ICE 3.2

4

Feb 4

Feb 6

 

Viewing Data

 

ICE 4.1: The Day the Music Died

 

ICE 4.2: Gotta Catch Em All

Session 4 Readings 

Feb 4: Quiz 3

Feb 4: ICE 4.1

Feb 6: ICE 4.2

5

Feb 11

Feb 13

Communicating Using Data

Storytelling with Infographics

ICE 5.1: Telling a Story through Visualization  

 ICE 5.2: Creating Infographics with Piktochart  

Session 5 Readings

Feb 11: Quiz 4

Feb 11: Assignment 1

Feb 13: ICE 5.2

6

Feb 18

Feb 20

Exam 1 – Study Guide Announcement

Exam 1 – Review

Data used in Exam Review

Exam 1 (Feb 20)

     
7

Feb 25

Feb 27

Dirty Data

Data Cleansing

ICE 7.1: Locating “Bad Data” Using Excel

Session 7 Readings

Feb 25: Quiz 5

Feb 27: ICE 7.1

Feb 27: Students pick their groups for Assignment 3

8

Mar 10

Mar 12

Choosing Relevant Data

Evaluating Key Performance Indicators

 ICE 8.1: Identifying Key Performance Indicators

ICE 8.2: Visualizing Key Performance Indicators

Session 8 Readings

Mar 10: Quiz 6

Mar 12: ICE 8.2

Mar 12: Assignment 2

9

Mar 17

Mar 19

Connecting Diverse Data

Creating Interactive Dashboards

ICE 9.1: Connecting Data Sets

ICE 9.2: Creating Interactive Dashboards

Session 9 Readings

Mar 17: Quiz 7

Mar 17: ICE 9.1

Mar 19: ICE 9.2

 

10

Mar 24

Mar 26

Exam 2 – Study Guide Announcement

Exam 2 – Review

Exam 2 (Mar 26)

   

 

11

Mar 31

Apr 2

Storing and Retrieving Data

Using Tableau to Aggregate Data

 ICE 11.1: Creating a Simple Database

 ICE 11.2: Working with “Pivot Tables” in Tableau

 

Session 11 Readings

Mar 31: Assignment 3 proposal submission (100-word limit)

Mar 31: Quiz 8

Apr 2: ICE 11.2

12

Apr 7

Apr 9

Beyond Numbers

Twitter Sentiment Analysis using Excel

ICE 12.1: Manually Determining the Sentiment of Textual Data (if time permits)

ICE 12.2: Sentiment Analysis Using Excel

Session 12 Readings

Apr 7: Quiz 9

Apr 7: ICE 12.2

13

Apr 14

Apr 16

Predicting the Future

Predictive Analytics Using Tableau

Exam 3 – Study Guide Announcement

Exam 3 – Review (Apr 16)

ICE 13.1: Simple Predictive Analytics Using Tableau

Session 13 Readings

Apr 14: Quiz 10

Apr 14: ICE 13.1

14

Apr 21

Apr 23

Group Presentations (Apr 21)

EXAM 3 (Apr 23 – Class time )

 

   

Apr 21: Assignment 3

Apr 3o: All missed items (quizzes, ICEs, assignments) due without extra penalty

 

Primary Sidebar

Instructor

Sezgin Ayabakan, PhD
ayabakan@temple.edu
Office Hours: Tuesdays and Thursdays 3:30 - 4:30pm
Office: Speakman 201B

ITA Info

Section 001
ITA: Taylor Trench
Email: trench@temple.edu
Office Hour: Wednesdays 11:30am - 12:30pm
Office Loc: Speakman 201
Section 005
ITA: Oviya Soundararajan
Email: oviya.soundararajan@temple.edu
Office Hour: Mondays 11:00am - 12:00pm
Office Loc: Speakman 201

RECENT ANNOUNCEMENTS

Exam 3 Info and Study Guide and Review Session

EXAM 3 INFORMATION: This is very important. Do not confuse your Exam 3 … [More...] about Exam 3 Info and Study Guide and Review Session

ICE 13.1 Simple Predictive Analytics

Here are the files you will need: Guideline Dataset Driver … [More...] about ICE 13.1 Simple Predictive Analytics

ICE 12.2 Sentiment Analysis

Here is the guideline: Sentiment Analysis Using Excel Here is the file for … [More...] about ICE 12.2 Sentiment Analysis

ICE 12.1 Manually Determining the Sentiment of Text Data

Here is the ICE details: ICE 12.1 Manually Determining the Sentiment of … [More...] about ICE 12.1 Manually Determining the Sentiment of Text Data

ICE 11.2 Working with Pivot Tables in Tableau

Here is the guideline: ICE 11.2 Working with Pivot Tables in Tableau Here … [More...] about ICE 11.2 Working with Pivot Tables in Tableau

ICE 11.1 Creating a Database

Here is the guideline: ICE 11.1 Creating a Database This is not graded … [More...] about ICE 11.1 Creating a Database

[More Announcements...]

Great Data Sites

  • FiveThirtyEight
  • Philly Open Data
  • Data Gov
  • Guardian Data Blog
  • Flowing Data
  • Financial Times Data Blog
  • Our World in Data
  • Pew Research Data
  • Reddit / Data is Beautiful

COURSE INFO

Section 001
Class Days: T/TH
Class Time: 12:30 - 1:50pm
Location: Alter 607
Section 005
Class Days: T/TH
Class Time: 2 - 3:20pm
Location: Alter 607

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