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Data Science

Fall 2021 - Section 001 - Aleksi Aaltonen

Data Science

MIS 0855.002 ■ Fall 2022 ■ Aleksi Aaltonen
  • Announcements
  • Schedule
  • Readings
  • About
    • Course overview and policies
    • Grading
    • Get Tableau software
    • Aleksi, your instructor
    • Gradebook

Schedule

Recent changes are marked with red.

DAY TOPIC EXERCISE DUE
8/22 1.1 Introduction
8/24 1.2 Data, Information and Knowledge
8/26 1.2 Continued… 1.2 Data Sources Among Us
8/29 2.1 Data and Science 2.1 Developing Hypotheses WEEK 2 QUIZ (before class starts)

See Readings

8/31 2.2 Brief Introduction to Data(sets)
9/2 2.2 Continued… 2.2 Building a Data Dictionary, Car fuel economy 2021 data dictionary exercise.xlsx
9/5 LABOR DAY (no classes)
9/7 3.1 Where Do We Get Data? 3.1 Finding Open Datasets WEEK 3 QUIZ (before class starts)

See Readings

9/9 3.2 Trust in Data 3.2 Assessing the Trustworthiness of Data
9/12 4.1 Exploring Data Visually 4.1 Finding Good and Bad Data Visualizations WEEK 4 QUIZ (before class starts)

See Readings

9/14 4.2 Functions, Filtering and Sorting 4.2 Getting Familiar with Tableau, COVID cases and deaths by county.xlsx
9/16 4.2 Continued… 4.2 Intermediary saved file.twb

4.2 Getting Familiar with Tableau (completed).twb

9/19 5.1 Telling Stories with Data Visualizations 5.1 Effective Data Visualizations, Gun violence 2017.twb, Gun violence in the US – 2017.xlsx WEEK 5 QUIZ (before class starts)

See Readings

9/21 5.2 Infographics
9/23 5.2 Continued… 5.2 Creating Infographics with Piktochart, Cases per 100k in FL.png, Cases per 100k in PA.png, Deaths vs cases in PA and FL.png
9/26 Module 1 and 2 Summary
9/28 EXAM 1 (study guide)
9/30 6.2 Admin and other matters
10/3 7.1 Corrupting and Cleansing Data 7.1 How to Obtain Corrupt Data WEEK 7 QUIZ (before class starts)

See Readings

10/5 7.1 Continued… 7.2 Locating and Correcting Suspicious Data Points Using Excel, Vandelay Orders by Zipcode.xlsx
10/7 7.2 Relational Database
10/10 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 WEEK 8 QUIZ (before class starts)

See Readings

Individual Assignment 1 (specification and dataset)

10/12 8.2 Storing Large Datasets for Analysis 8.1 Exercise continued…
10/14 TEMPLE WELLNESS DAY (No classes)
10/17 9.1 Aggregating Data for Insights 9.1 Identifying a Key Performance Indicator WEEK 9 QUIZ (before class starts)

See Readings

10/19 9.2 Scorecards and Dashboards
10/21 9.2 Continued… 9.2 Assessing Product Scorecards
10/24 Module 3 Summary
10/26 EXAM 2 (study guide)
10/28 NO CLASSES!
10/31 11.1 Interactive Dashboards and Pivot Tables 11.1 Pivot Table Analysis in Excel, Employee monthly expenses.xlsx WEEK 11 QUIZ (before class starts)

See Readings

11/2 11.1 Continued… 11.2 Creating an Interactive Dashboard, Daily delays from PHL by airline.xlsx
11/4 11.1 Continued… 11.2 Exercise continued…
11/7 12.1 Working with Unstructured Data 12.1 Manually Determining the Sentiment in Text WEEK 12 QUIZ (before class starts)

See Readings

11/9 12.1 Continued… 12.2 Building a Sentiment Analysis Pipeline, Sentiment Analysis Tools.xlsm Individual Assignment 2 (specification and dataset)
11/11 12.1 Continued… 12.2 Exercise continued… (Intermediary saved file)
11/14 13.1 Descriptive, Predictive, Prescriptive Analytics 13.1 Simple Predictive Analytics, VandelayOrdersAll.xlsx WEEK 13 QUIZ (before class starts)

See Readings

11/16 13.2 Machine Learning
11/18 13.2 Machine Learning Simulation 12.3 Machine Learning Simulation
11/21 THANKSGIVING (No classes)
11/23 THANKSGIVING (No classes)
11/25 THANKSGIVING (No classes)
11/28 Module 4 Summary
11/30 EXAM 3 (study guide)
12/2 NO CLASSES
12/5 Submit Your Group Presentations (we will NOT have in-class session) Group Assignment (specification and evaluation criteria)

 

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Lecture recordings

Recordings of our sessions are available from here.

Recent Announcements

  • Important Notes
  • Group Project Submission Form
  • Exam 3 Study Guide and Summary Slides
  • Confidence Interval Explained
  • Record Your Predictions Using This Form

TEACHING TEAM

Aleksi Aaltonen (Instructor)
aleksi@temple.edu

I am available to meet students on Wednesdays 2–3pm at Speakman 206D. If the time is not convenient for you or you want to meet virtually using Zoom, please send me an email.

Jessica Rakhman (Information Technology Assistant)
jessica.rakhman@temple.edu

Email Jessica 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

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