HarvardX Data Science: Visualization Self-Paced Course
The HarvardX Data Science: Visualization course introduces basic data visualization principles and explains how to apply them using ggplot2. The self-paced course is available through edX and can be completed over eight weeks with an estimated weekly commitment of one to two hours.
Quick Overview
Course: HarvardX: Data Science: Visualization
Provider: HarvardX
Platform: edX
Format: Self-paced
Duration: 8 weeks
Estimated Study Time: 1–2 hours per week
Language: English
About the HarvardX Data Science: Visualization Course
Data Science: Visualization focuses on the principles needed to present data clearly. The course introduces methods for communicating data-driven findings and creating custom plots with ggplot2.
Learners also examine the weaknesses of several widely used plots. This helps participants understand why certain visualizations should be avoided.
What You Will Learn
The course covers:
• Data visualization principles
• How to communicate data-driven findings
• How to use ggplot2 to create custom plots
• The weaknesses of several widely used plots and why they should be avoided
Course Format
The course follows a self-paced structure. Learners can work through the material over an eight-week period.
The estimated time commitment is one to two hours per week. The course language is English, and English transcripts are available.
