Information
Duration: One (1) Week
Course Title:
Data Vis Principles and Techniques
Course Description:
This course will introduce students to the data visualization process, principles and best practices for creating visualizations.
Materials Needed:
Computers (either provided or students can bring their own), Paper, Pens
Software:
Microsoft Excel, Tableau
Intended Audience:
Data Visualization novices
Skill level: Beginner
Assessment Method: Pass/Fail
Overview
Learning Outcomes
After completing this course, students will:
-
Define, in their own words, the purpose of data visualization
-
Apply basic graphic techniques and data visualization principles
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Demonstrate best practices in data visualization for basic graphs
Course Overview
Day 1: Data Visualization
Day 2: Data Vis Do's and Don'ts
Day 3: Data Visualization Best Practices
Day 4: Storytelling with Data
Day 5: Bringing it all Together
Day 1: Data Visualization
Schedule
Schedule
Time | Topic |
---|---|
9:00 AM | Introductions, Course Outline, Dear Data [Slides] |
9:10 AM | What is Data Visualization and why do we need it? [Slides] |
9:20 AM | What does data look like?
Students will be given datasets to work with to introduce each stage of the data visualization process throughout the week. Hands-on activities are designed to allow students to work independently and in groups preparing and visualizing the data. [Dataset] |
9:25 AM | Acquiring Data: Search Strategies
Hands-on Activity: Parse Activity Worksheets (provided). [Acquire Worksheet] |
9:30 AM | You’ve got data now what? [Slides] |
9:45 AM | Parsing Data: Pre- & Post- Processing: Cleaning up the data [Slides]
Hands-on Activity: Clean a simple dataset. A small dataset that needs to be cleaned will be provided. Students will be asked to clean the dataset while documenting along the way. Can be done using Google Sheets or Excel. Parse Activity Worksheet provided. [Parse Worksheet] [Dataset] |
10:00 AM | Break |
10:10 AM | Discussion: What were some trends that you noticed in the data set that you had to address in cleaning? What were so me of the challenges you encountered? Where did those challenges originate
(dataset, tool, skills, etc.)?
Hands-on Activity: Students will identify a question(s) they would like to answer with the data and provide a sketch of what a visualization of the data would look like, using pen and paper (no software). [Slides] |
10:30 AM | Representing Data: How to Design Charts and Graphs
Hands-on Activity: Students will use Excel to create the sketch they created. |
10:45 AM | Dear Data Take Home Assignment: Students will create postcards based on a theme of their choosing (favorite movies, hobbies, time spent on tasks, etc.) but they can not use words, they
must communicate through hand-drawn pictures.
[Dear Data Postcards] [Gallery] |
11:00 AM | Adjourn |
Day 2: Data Visualization Do's and Don'ts
Schedule
Schedule
Time | Topic |
---|---|
9:00 AM | Class Participation: Dear Data Take Home Assignment (Think/Pair/Share) |
9:10 AM | Color and Perception [Slides] |
9:20 AM | Data Vis Best Practices [Slides] |
9:25 AM | Class Participation: Critique Visualizations created on Day 1
Students will share their sketches and visualizations from Day 1, receive and give constructive feedback on how the visualizations can be improved. |
9:30 AM | Hands-on Activity: Refine: Update data visualizations based on feedback (critique) |
10:00 AM | Break |
10:10 AM | Hands-on Activity: Students will be given data sets to clean and visualize.
[Dataset] |
10:45 AM | Recap + Day 3 Preview |
11:00 AM | Adjourn |
Day 3: Data Visualization Best Practices Revisited
Schedule
Schedule
Time | Topic |
---|---|
9:00 AM | Data Visualization Best Practices Revisited [Slides] |
9:10 AM | Good to Great Data Visualizations [Slides] |
9:30 AM | Hands-on Activity: Creating Dashboards with Microsoft Excel
[Data] |
10:00 AM | Break |
10:10 AM | Hands-on Activity: Creating Dashboards with Microsoft Excel continued. |
10:45 AM | Form teams and identify topic of interest for a small data visualization project. |
11:00 AM | Adjourn |
Day 4: Storytelling with Data
Schedule
Schedule
Time | Topic |
---|---|
9:00 AM | Pitch small project ideas. |
9:30 AM | Hands-on Activity - Makeover a chart: Students are given a visualization and the data that was used to generate it.
Part 1: students will discuss the features of the visualization (what’s good, what could be improved). Part 2: Students will redesign the chart using any tool they are familiar with. Part 3: students share before/after with the wider group and explain why they made the decisions they did. [Data] |
10:00 AM | Break |
10:10 AM | Hands-on Activity: Students will work on small project idea in teams, can use any visualization tool familiar with. |
10:45 AM | Recap from the week + Day 5 Preview |
11:00 AM | Adjourn |
Day 5: Bringing it all together Student Showcase
Schedule
Schedule
Time | Topic |
---|---|
9:00 AM | Agenda Review |
9:10 AM | Student Presentations |
10:00 AM | Break |
10:10 AM | Student Presentations |
10:45 AM | Presentation of Certificates of Completion |
11:00 AM | Adjourn |