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Data Science

Fall 2021 - Section 001 - Aleksi Aaltonen

Data Science

MIS 0855.004 ■ Spring 2023 ■ Aleksi Aaltonen
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  • Schedule
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Schedule

Recent changes are marked with red.

DAY TOPIC EXERCISE DUE
1/18 1.1 Introduction
1/23 1.2 Data, Information and Knowledge

2.1 Data and Science

1.2 Data Sources Among Us WEEK 2 QUIZ (before class starts)

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1/25 2.2 Brief Introduction to Data(sets) 2.1 Developing Hypotheses
1/30 3.1 Where Do We Get Data? 3.1 Finding Open Datasets WEEK 3 QUIZ (before class starts)

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2/1 3.2 Trust in Data 2.2 Building a Data Dictionary, Car fuel economy 2021 data dictionary exercise.xlsx

3.2 Assessing the Trustworthiness of Data

2/6 4.1 Exploring Data Visually 4.1 Finding Good and Bad Data Visualizations WEEK 4 QUIZ (before class starts)

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2/8 4.2 Functions, Filtering and Sorting 4.2 Getting Familiar with Tableau, COVID cases and deaths by county.xlsx, Getting Familiar with Tableau (complete).twb
2/13 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)

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2/15 5.2 Infographics 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
2/20 Module 1 and 2 Summary
2/22 EXAM 1 (study guide)
2/27 7.1 Corrupting and Cleansing Data 7.1 How to Obtain Corrupt Data WEEK 7 QUIZ (before class starts)

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3/1 7.2 Relational Database 7.2 Locating and Correcting Suspicious Data Points Using Excel, Vandelay Orders by Zipcode.xlsx Individual Assignment 1 (specification and dataset)
3/6 SPRING BREAK (no classes)
3/8 SPRING BREAK (no classes)
3/13 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)

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3/15 8.2 Storing Large Datasets for Analysis
3/20 9.1 Aggregating Data for Insights 9.1 Identifying a Key Performance Indicator WEEK 9 QUIZ (before class starts)

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3/22 9.2 Scorecards and Dashboards 9.2 Assessing Product Scorecards
3/27 Module 3 Summary
3/29 EXAM 2 (study guide)
4/3 11.1 Interactive Dashboards and Pivot Tables 11.1 Pivot Table Analysis in Excel, Employee monthly expenses.xlsx WEEK 11 QUIZ (before class starts)

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4/5 11.1 Interactive Dashboards and Pivot Tables (continued…) 11.2 Creating an Interactive Dashboard, Daily delays from PHL by airline.xlsx Individual Assignment 2 (specification and dataset)
4/10 12.1 Working with Unstructured Data 12.1 Manually Determining the Sentiment in Text WEEK 12 QUIZ (before class starts)

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4/12 12.1 Working with Unstructured Data (continued…) 12.2 Building a Sentiment Analysis Pipeline, Sentiment Analysis Tools.xlsm
4/17 13.1 Descriptive, Predictive, Prescriptive Analytics 13.1 Simple Predictive Analytics, VandelayOrdersAll.xlsx WEEK 13 QUIZ (before class starts)

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4/19 13.2 Machine Learning 12.3 Machine Learning Simulation
4/24 Module 4 Summary
4/26 EXAM 3 (study guide)
5/1 Group presentations Group Assignment (specification and evaluation criteria)

 

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Lecture recordings

Recordings of our sessions are available from here.

Recent Announcements

  • Groups!
  • Submit Your Individual Assignment 2
  • Extra Office Hours!
  • MapReduce and Hadoop Technology
  • Key Performance Indicator

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.

Rhiannon Adeel (Information Technology Assistant and B4USoar mentor)
radeel@temple.edu

Email Rhiannon to arrange a meeting. Zoom link: https://temple.zoom.us/j/3979325337

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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