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Data Science

Department of Management Information Systems, Temple University

Data Science

MIS 0855.003 ■ Fall 2022 ■ Guohou Shan
  • Schedule
  • Announcements
  • Readings
  • About
    • Course details
    • Course syllabus
    • Grading
    • Get Tableau software
    • Guohou, your instructor
    • Gradebook
  • Gradebook

Schedule

DATE TOPIC IN-CLASS EXERCISE DUE
8/23 1.1 Introduction    
8/25 1.2 Data, Information, Knowledge 1.2 Data Sources Among Us  
8/30 2.1 Data and Science 2.1 Developing Hypotheses

WEEK 2 QUIZ (before class starts)

See Readings

9/1 2.2 Brief Introduction to Data(sets) 2.2 Building a Data Dictionary, 2.2 Car fuel economy 2021 data dictionary exercise.xlsx In-class activity submission link is here
9/6 3.1 Where Do We Get Data?

3.1 Finding Open Datasets

WEEK 3 QUIZ (before class starts)

See Readings

9/8 3.2 Trust in Data 3.2 Assessing the Trustworthiness of Data  
9/13 4.1 Exploring Data Visually 4.1 Finding Good and Bad Data Visualizations WEEK 4 QUIZ (before class starts)

See Readings

Video recap for in-class-activity0913

9/15

4.2 Introduction to Tableau

4.2 Functions, Filtering, and Sorting

4.2 Getting Familiar with Tableau, 4.2 COVID cases and deaths by county.xlsx In-class activity submission link is here
9/20 5.1 Telling Stories with Data Visualizations 5.1 Effective Data Visualizations, 5.1 Gun violence 2017.twb, 5.1 Gun violence in the US – 2017.xlsx WEEK 5 QUIZ (before class starts)

See Readings

9/22 5.2 Infographics 5.2 Creating Infographics with Piktochart, 5.2 Cases per 100k in FL.png, 5.2 Cases per 100k in PA.png, 5.2 Deaths vs cases in PA and FL  
9/27

Module 1 and 2 Review Summary

Q&A

(Study guide for the exam)

   
9/29 EXAM 1 (in-person in the class)    
10/4 7.1 Corrupting and Cleansing Data 7.1 How to Obtain Corrupt Data WEEK 7 QUIZ (before class starts)

See Readings

 

10/6

7.1 Corrupting and Cleansing Data (continued…)

Additional Extra Points  
10/11

7.2 Relational Database

8.1 Integrating Data from Different Sources

8.1 Instruction: Setting up an ETL Process to Merge Data,

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

WEEK 8 QUIZ (before class starts)

See Readings

10/13 8.2 Storing Large Datasets for Analysis

7.2 Instruction: Locating and Correcting Suspicious Data Points Using Excel, 

Data: Vandelay Orders by Zipcode.xlsx

In-class activity submission link is here

Individual Assignment 1

(1) assignment specification 

(2) assignment dataset

(3) answer sheet

Please submit here

10/18 9.1 Aggregating Data for Insights 9.1 Identifying a Key Performance Indicator WEEK 9 QUIZ (before class starts)

See Readings

 

10/20 9.2 Scorecards and Dashboards

9.2 Assess Different Product Scorecards

In-class activity submission link is here

Additional Extra Points Due before this class

10/25

Module 3 Review Summary

Q&A

(Study guide for the exam)

   
10/27 EXAM 2 (in-person in the class)    
11/1 11.1 Interactive Dashboards and Pivot Tables

11.1 Instruction: Pivot Table Analysis in Excel, 

Data: Employee monthly expenses.xlsx

WEEK 11 QUIZ (before class starts)

See Readings

11/3

11.1 Interactive Dashboards and Pivot Tables (continued…)

12.1 Working with Unstructured Data

11.2 Instruction: Creating an Interactive Dashboards, 

Data: Daily delays from PHL by airline.xlsx

In-class activity submission link is here

 
11/8 12.1 Working with Unstructured Data

12.1 Instruction: Building a Sentiment Analysis Pipeline, 

Data: Sentiment Analysis Tool.xlsm

WEEK 12 QUIZ (before class starts)

See Readings

11/10

12.2 Guest Speaker: Jim Clavin 

(CTO, The Hilltop Institute)

Individual Assignment 2

Scoring sheet

(1) assignment specification

(2) assignment dataset

(3) answer sheet

Please submit here

11/15 13.1 Descriptive, Predictive, Prescriptive Analytics

13.1 Instruction: Simple Predictive Analytics Using Tableau

Data: VandelayOrdersAll.xlsx 

WEEK 13 QUIZ (before class starts)

See Readings

11/17 13.2 Machine Learning

13.2 Machine Learning Simulation

Get five extra credits by coming to the class and submitting here.

11/22

Fall Break (no classes held)

 

 
11/24 Thanksgiving holiday (no classes held)    
11/29

Module 4 Review Summary

Q&A

(Study guide for the exam)

Group Presentations

Team list is here

We can arrange for around three teams to do an in-person presentation.

Please email me if your team is interested.

Group Assignment

(1) specification

(2) evaluation criteria

Please submit here

12/1 EXAM 3 (in-person in the class)    
12/6

University study day

No class held

If you want to talk, please come to my office (Speakman 208E) during 2-3.30 pm.

 

Group project submission due

Upload here

12/8

No class held

If you want to talk, please come to my office (Speakman 208E) during 2-3.30 pm.

Please email me to schedule a time to talk between 12/6-12/12. Your official letter grade is planned to be uploaded to the school system around 12/13. 

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LECTURE RECORDINGS

Recordings are as follows.

14th week 11/29/2022
12/1/2022
13th week 11/15/2022 11/17/2022
12th week 11/08/2022 11/10/2022
11th week 11/01/2022 11/03/2022
10th week 10/25/2022
10/27/2022
9th week 10/18/2022 10/20/2022
8th week 10/11/2022 10/13/2022
7th week 10/04/2022 10/06/2022
6th week 09/27/2022
09/29/2022
5th week 09/20/2022 09/22/2022
4th week 09/13/2022 09/15/2022
3rd week 09/06/2022 09/08/2022
2nd week 08/30/2022 09/01/2022
1st week 08/23/2022 08/25/2022

RECENT ANNOUNCEMENTS

  • Week 13 Summary
  • Week13 Prep and Week12 Summary
  • Week12 Prep and Week11 Summary
  • Week10 Prep and Week9 Summary
  • Week9 Prep and Week8 Summary
  • Week8 Prep and Week7 Summary
  • Week6 Exam and Week5 Summary
  • Week5 Quiz and Week4 Summary
  • Week4 Quiz and Week3 Summary
  • Week3 Quiz and Week2 Summary
  • Week2 Quiz and Week1 Summary

  • Video for part6 in-class-activity0915
  • Video recap for in-class-activity0913
  • Data visualization
  • Assessing the Trustworthiness of Data
  • Welcome to MIS0855 Data Science!
  • Teaching Team

    Guohou (Jack) Shan (Instructor)
    guohou.shan@temple.edu

    I am available to meet students on Tuesday (3:30 pm – 4:30 pm) at Speakman 208E. I will also hold virtual office hours from 1-3 pm on Monday and Friday (4 pm – 5 pm) over zoom (https://temple.zoom.us/j/2292311746).  If the time is not convenient for you, please send me an email.

    Anna M Boykis (Information Technology Assistant)
    anna.boykis@temple.edu

    Email Anna to arrange a meeting.

    GREAT DATA SITES

  • FiveThirtyEight
  • Guardian Data Blog
  • Flowing Data
  • Financial Times Data Blog
  • Pew Research Data
  • US Government Open Data
  • OpenDataPhilly
  • Copyright © 2025 · Department of Management Information Systems · Fox School of Business · Temple University