DAY | TOPIC | IN-CLASS EXERCISE | DUE |
---|---|---|---|
1/14 | 1.1 Introduction | 1.1 Data is Everywhere! | |
1.2 Science and Data Science | 1.2 Developing Hypotheses | 1.2 Readings | |
1/28 | 2.1 A Brief Introduction to Data | 2.1 Building a Data Dictionary | Quiz 1 |
2.2 Identifying Sources of Data | 2.2 Finding Sources of Data | ||
2/4 | 3.1 Learning to (Mis)trust Data | 3.1 Assessing Trustworthiness of Data | Quiz 2 |
2/11 | 4.1 Viewing Data
4.2 Introduction to Tableau |
4.1 Finding Good and Bad Visualizations
4.2 Getting Familiar with Tableau |
Quiz 3 |
2/15 | Assignment: Analyze a Data Set Using Tableau Due Feb. 15 3 p.m. ET | ||
2/18 | 5.1 Communicating Using Data | 5.1 Telling Stories Through Visualizations | Quiz 4 |
5.2 Storytelling with Infographics | 5.2 Creating Infographics | ||
6.1 Exam Review | |||
2/25 | 6.2 EXAM 1 | ||
3/5 | NO CLASS-SPRING BREAK | ||
3/11 | 7.1 Dirty Data
7.2 Data Cleansing |
7.1 How Data Gets Dirty
7.2 Finding Bad Data in Excel |
Quiz 5 |
3/15 | Assignment Cleaning a data set due March 15 at 3 p.m. ET | ||
3/18 | 8.1 Choosing Relevant Data | 8.1 Identifying KPIs
8.2 Visualizing KPIs |
Quiz 6 |
3/25 | 9.1 Connecting Diverse Data | 9.1 Connecting Diverse Data
9.2 Creating Interactive Dashboards |
Quiz 7 |
10.1 Exam Review | |||
4/1 | 10.2 EXAM 2 | ||
4/8 | 11.1 Storing and Retrieving Data | 11.1 Creating a Database | Quiz 8 |
11.2 Using Tableau to Aggregate Data | 11.2 Working with ‘Pivot Tables’ in Tableau | ||
4/15 | 12.1 Beyond Numbers | 12.1 Manually Determining the Sentiment of Text Data | Quiz 9 |
12.2 Twitter Sentiment Analysis using Excel and Google Drive | 12.2 Sentiment Analysis using Excel | ||
4/22 | 13.1 Predicting the Future | 13.1 Predicting Future Enrollment | Quiz 10 |
13.2 Predictive Analytics Using Tableau | 13.2 Simple Predictive Analytics | ||
4/26 | Assignment Due: April 26 3 p.m. Group Analysis | Final Assignment | |
4/29 | Group Presentations
Exam Review |
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5/6 | Final Exam 5:30 p.m. | Any missing items |