Data Visualization and Interpretation

16 lectures

Lecture notes and study resources for this subject.

01Lecture 01 · Introduction to Data Visualization

02Lecture 02 · Visual Design, Clutter, and Pre-Attentive Attributes

03Lecture 03 · Storytelling and the Taxonomy of Visualization Methods

04Lecture 04 · Data Visualization: Taxonomy and Tools

05Lecture 05 · Data Visualization Tools: Desktop, Online, Libraries, and Open Source

06Lecture 06 · Tableau Desktop: Data Connection and Preparation

07Lecture 07 · Tableau Interactivity: Parameters, Combined Fields, Sets, and Filtering

08Lecture 08 · Tableau Maps, Actions, and Chart Types

09Lecture 09 · Dashboards

10Lecture 10 · Visual Perception, Memory, and Dashboard Design

11Lecture 11 · Dashboard and Story Building in Tableau

12Lecture 12 · Matplotlib and Python for Data Visualization

13Lecture 13 · Matplotlib: Advanced Plot Types and Real Data Sources

14Lecture 14 · Seaborn: Statistical Visualization in Python

15Lecture 15 · Bokeh: Interactive Visualization in Python

16Lecture 16 · Bokeh Wrap-Up: ColumnDataSource, Layered Styling, Bokeh Server, and Course Recap

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