Data Visualization Fundamentals
Development Academy of the Philippines
Enrollment is Closed
Course Overview
This course covers the subject of data visualization or bringing data to life for audiences. It approaches this subject by first exploring the different types of data stories, and then going over the charts and graphs that are most appropriate to each type of story. This is followed by an overview of general design principles that aim to make the chosen forms of visualizations more effective tools of communicating data. Finally, the course discusses principles of data visualization ethics as part of a general framework of data integrity.
What You Will Learn
Upon completion of this course, the learners are expected to:
- distinguish the differences between proper and improper data visualization through readings and visual samples;
- determine the different ethical and responsible framework in preparing and presenting data through readings and video lessons provided in the course;
- analyze the functions of the different types of data visualizations by completing the assessments and interactive activities; and
- design samples of data visualization in MS Excel.
Requirements
You will need a computer or laptop with Microsoft Excel installed. Computer or laptop requirements are:
- For Windows: Core i3 or better, 4GB RAM or better, MS Excel 2007 or better
- For MacBook: ideally MS Excel 2013 or newer should be installed (some functions require this version on the Mac). If the version of MS Excel is 2011, download and install StatPlus.
Note to SPARTA scholars: Upon enrollment, you will have 6 months to finish a SPARTA course. Failure to complete the course in 6 months and/or inactivity for 3 months will result in course access revocation.
Course Instructor
Gabriel Kristopher Soong
Subject Matter Expert
Course Content
Week 1 Overview of Data Visualization
4 Videos | 2 Activities
4 Videos
- Welcome to the course!
- Visualization and Storytelling
- Why: Who, What, and How
- The Proper Chart
2 Activities
- Quiz: Visualization and Storytelling
- Progressive Capstone
Week 2 Charts and Graphs by Type of Story (Composition and Comparison)
3 Videos | 2 Activities
4 Videos
- Charts to Visualize Data Composition
- Charts to Visualize Data Comparison (2 videos)
2 Activities
- Quiz: Composition and Comparison
- Progressive Capstone
Week 3 Charts and Graphs by Type of Story (Distribution and Relationship)
4 Videos | 2 Activities
4 Videos
- Overview
- Distribution (2 videos)
- Relationship
2 Activities
- Quiz: Distribution and Relationship
- Progressive Capstone
Week 4 Chart Design Principles and Data Visualization Ethics
7 Videos | 2 Activities
7 Videos
- Overview
- Be Concise
- Prepare the Content
- Establish the Context
- Data Visualization Ethics (2 videos)
- Key Takeaways
2 Activities
- Quiz: Design Principles and Ethics
- Capstone Project