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Data Science

Fall 2021 - Section 001 - Aleksi Aaltonen

Data Science

MIS 0855.004 ■ Spring 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
1/10 1.1 Introduction
1/12 1.2 Data, Information, Knowledge 1.2 Data Sources Among Us
1/17 NO CLASSES (Dr. Martin Luther King, Jr. Day)
1/19 2.1 Data and Science

2.2 Brief Introduction to Data(sets)

2.1 Developing Hypotheses

2.2 Building a Data Dictionary, 2.2 Car fuel economy 2021 data dictionary exercise.xlsx

WEEK 2 QUIZ (before class starts)

See Readings

1/24 3.1 Where Do We Get Data? 2.1 Developing Hypotheses

3.1 Finding Open Datasets

WEEK 3 QUIZ (before class starts)

See Readings

1/26 3.2 Trust in Data 3.2 Assessing the Trustworthiness of Data
1/31 4.1 Exploring Data Visually 4.1 Finding Good and Bad Data Visualizations WEEK 4 QUIZ (before class starts)

See Readings

2/2 4.2 Getting Familiar with Tableau, 4.2 COVID cases and deaths by county.xlsx
2/7 4.2 Functions, Filtering and Sorting

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

2/9 5.2 Infographics 5.2 Creating Infographics with Piktochart, 4.2 Getting Familiar with Tableau (complete).twb, 4.2 COVID cases and deaths by county.xlsx, 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
2/14 2.2 Brief Introduction to Data(sets)

Module 1 and 2 Summary

2.2 Building a Data Dictionary, 2.2 Car fuel economy 2021 data dictionary exercise.xlsx
2/16 EXAM 1 (Study guide)
2/21 7.1 Corrupting and Cleansing Data 7.1 How to Obtain Corrupt Data WEEK 7 QUIZ (before class starts)

See Readings

2/23 7.2 Relational Database 7.2 Locating and Correcting Suspicious Data Points Using Excel, Vandelay Orders by Zipcode.xlsx
2/28 NO CLASSES (Spring Break)
3/2 NO CLASSES (Spring Break)
3/7 8.1 Integrating Data from Different Sources WEEK 8 QUIZ (before class starts)

See Readings

3/9 8.2 Storing Large Datasets for Analysis 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 Individual Assignment 1 (assignment specification and the dataset)
3/14 9.1 Aggregating Data for Insights 9.1 Identifying a Key Performance Indicator WEEK 9 QUIZ (before class starts)

See Readings

3/16 9.2 Scorecards and Dashboards 9.2 Assess Different Different Product Scorecards
3/21 Module 3 Summary
3/23 EXAM 2 (Study guide)
3/28 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

3/30 11.1 Interactive Dashboards and Pivot Tables (continued…) 11.2 Creating an Interactive Dashboards, Pew Story Data.xlsx
4/4 12.1 Working with Unstructured Data 12.1 Manually Determining the Sentiment in Text WEEK 12 QUIZ (before class starts)

See Readings

4/6 12.1 Working with Unstructured Data (continued…) 12.2 Building a Sentiment Analysis Pipeline, Sentiment Analysis Tool.xlsm Individual Assignment 2 (specification and dataset)
4/11 13.1 Descriptive, Predictive, Prescriptive Analytics, Machine Learning WEEK 13 QUIZ (before class starts)

See Readings

4/13 13.2 Machine Learning Simulation 13.2 Simple Predictive Analytics, VandelayOrdersAll.xlsx, Machine Learning Simulation
4/18 Module 4 Summary
4/20 EXAM 3 (Study guide)
4/25 Group Presentations Group Assignment (specification and evaluation criteria)

 

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Two first weeks online!

The course will be taught online for the first two weeks of the semester. Use this link to join the Zoom sessions:

https://temple.zoom.us/j/91038078897

On Monday, 24 January, we will move to in-person sessions at Alter Hall 607.

Lecture recordings

Recordings of in-person sessions are available from here (from 1/24 onward).

Links to Zooms sessions until 1/19 are here:

Monday, 1/10/2022

Wednesday, 1/12/2022 (beginning)

Wednesday, 1/12/2022 (end)

Wednesday, 1/19/2022

Recent Announcements

  • Group project submission
  • Exam 3 Study Guide
  • Groups!
  • Reading Quiz for Week 13
  • Individual Assignment 2 Submission

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.

Oviya Soundararajan (Information Technology Assistant)
oviya.sound@temple.edu

Email Oviya to arrange a meeting.

Rhiannon Adeel (B4USoar mentor)
radeel@temple.edu

Email Rhiannon 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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