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Data Science

Department of Management Information Systems, Temple University

Data Science

MIS 0855.750 ■ Fall 2023 ■ Lawrence Dignan
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Schedule

Note: Log in to your Temple Workspace account from TU portal to access many of these decks, exercises.

DAY TOPIC IN-CLASS EXERCISE DUE
8/28 1.1 Introduction 1.2 Data Sources Among Us
1.2 Data. Information, Knowledge 1.2 Readings
9/11 2.1 Data and Science 2.1 Developing Hypotheses Quiz 1

2.1 & 2.2 Readings

2.2 Intro to Data(sets) 2.2 Building a Data Dictionary, Car fuel economy 2021 data dictionary exercise.xlsx
9/18 3.1 Where Do We Get Data?

3.2 Trust in Data

3.1 Finding Open Datasets

3.2 Assessing the Trustworthiness of Data

Quiz 2

3.1 Readings

9/25 4.1 Exploring Data Visually 4.1 Finding Good and Bad Data Visualizations
4.2    Introduction to Tableau 4.2 Getting Familiar with Tableau, COVID cases and deaths by county.xlsx Quiz 3

4.1 & 4.2 Readings

 

9/29 Assignment 1: Tableau 

Use data set below for Assignment 1

(Covid cases spreadsheet)

Due to my inbox 3 p.m. Friday Sept. 29
10/2 5.1 Telling Stories with Data Effective Data Visualizations, Gun violence 2017.twb, Gun violence in the US – 2017.xlsx Quiz 4

5.1 & 5.2 Readings

5.2 Storytelling with Infographics Creating Infographics with Piktochart 

5.2 Tableau workbook, data.

10/9 6.2 EXAM 1 On Canvas
10/16 7.1 Corrupting and Cleansing Data 7.1 How to Obtain Corrupt Data Quiz 5

7.1 & 7.2 Readings

10/20  

7.2 Relational Database

Assignment 2: Data cleansing in Excel due 10/20, 3 p.m.

 

(Vandelay spreadsheet for assignment. )

7.2 Locating and Correcting Suspicious Data Points Using Excel,

(Vandelay Orders by Zipcode.xlsx)

 

 

 

10/23 8.1 Integrating Data from Different Sources 8.1 Setting up an ETL Process to Merge Data, Carrier names.csv, Delta – PHL – Jan-2018.csv, Frontier – PHL – Jan-2018.csv, JetBlue – PHL – Jan-2018.csv, Republic – PHL – Jan-2018.csv, Southwest – PHL – Jan-2018.csv, Hourly weather for PHL in January 2018.csv Quiz 6

8.1 & 8.2 Readings

8.2 Storing Large Datasets for Analysis
10/30 9.1 Aggregating Data for Insights 9.1 Identifying a Key Performance Indicator Quiz 7 

9.1 & 9.2 Readings

9.2 Creating Interactive Dashboards 9.2 Assessing Product Scorecards
10.1 Exam Review
11/6 10.2 EXAM 2 On Canvas
11/13 11.1 Interactive Dashboards and Pivot Tables 11.1 Pivot Table Analysis in Excel, Employee monthly expenses.xlsx Quiz 8

11.1 & 11.2 Readings

11.2 Using Tableau to Aggregate Data 11.2 Creating an Interactive Dashboard, Daily delays from PHL by airline.xlsx
11/27 12.1 Working with Unstructured Data 12.1 Manually Determining the Sentiment in Text Quiz 9

12.1 & 12.2 Readings

Twitter Sentiment Analysis using Excel and Google Drive 12.2 Building a Sentiment Analysis Pipeline, Sentiment Analysis Tools.xlsm
12/4 13.1 Descriptive, Predictive, Prescriptive Analytics 13.1 Simple Predictive Analytics, VandelayOrdersAll.xlsx Quiz 10

13.1 & 13.2 Readings

13.2 Machine Learning, GenAI 13.2 Learn ChatGPT, Train image recognition system, files
12/11 Exam Review
Group Final Assignment Presentations Deliverables due to 3 p.m. 12/8
12/18 Exam 3 On Canvas Any missing assignments

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Study Guide for Exam 3

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What you need to know about Week 13

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What you need to know for Week 12

Read the following: Feldman – 2013 – Techniques and applications for … [More...] about What you need to know for Week 12

Assignment 3: Final (Group) Project due Dec. 8, presentations Dec. 11

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What you need to know about Week 11

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Study guide for Exam 2

Here is the study guide for the second exam, which will be held on Canvas … [More...] about Study guide for Exam 2

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