Data Science & AI
intermediate
Data Visualization & Communication
A comprehensive course covering Data visualization. Topics include Matplotlib, Seaborn, Plotly, dashboard design, storytelling with data, chart selection, color theory, and presenting findings to stakeholders. Designed for intermediate level learners.
10 hours
4 modules
12 lessons
0 enrolled
Dr
Dr. Priya Patel
Professor of Data Science & Artificial Intelligence
Free
Full access to all course materials
Course Content
Foundations of Matplotlib
3 lessons
Matplotlib
31 min
Seaborn
28 min
Applying Matplotlib
30 min
Understanding Dashboard Design
3 lessons
Plotly
33 min
Dashboard Design
22 min
Applying Plotly
21 min
Working with Storytelling With Data
3 lessons
Storytelling With Data
35 min
Chart Selection
24 min
Applying Storytelling With Data
32 min
Advanced Presenting Findings to Stakeholders
3 lessons
Color Theory
27 min
Presenting Findings to Stakeholders
20 min
Applying Color Theory
23 min