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ANC-DBM3510.AJ1
DBM3510: Data Visualization and Presentation
- 5 Interactive Lessons and 31 topics mapped to the official exam objectives
- 2 Practice Test Questions
Intermediate Self-paced · 1 year access
5Interactive Lessons
31Topics
2Practice Test Questions
58Videos
36Flashcards
36Glossary of terms
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
5 Interactive Lessons · 31 topics01 Introduction to Visualization with Python – Basic and Customized Plotting 5 topics · 13 LiveLab +
- Introduction
- Handling Data with pandas DataFrame
- Plotting with pandas and seaborn
- Tweaking Plot Parameters
- Appendix A: Data Structures, Strings, and Numpy
13 LiveLab in this lesson — see the labs panel →
02 Static Visualization – Global Patterns and Summary Statistics 3 topics · 10 LiveLab +
- Introduction
- Creating Plots that Present Global Patterns in Data
- Creating Plots That Present Summary Statistics of Your Data
10 LiveLab in this lesson — see the labs panel →
03 From Static to Interactive Visualization 4 topics · 6 LiveLab +
- Introduction
- Static versus Interactive Visualization
- Applications of Interactive Data Visualizations
- Getting Started with Interactive Data Visualizations
6 LiveLab in this lesson — see the labs panel →
04 Interactive Visualization of Data across Strata and Time 12 topics · 21 LiveLab +
- Introduction
- Interactive Scatter Plots
- Other Interactive Plots in altair
- Introduction - Interactive Visualization of data across Time
- Temporal Data
- Types of Temporal Data
- Understanding the Relation between Temporal Data and Time-Series Data
- Examples of Domains That Use Temporal Data
- Visualization of Temporal Data
- Choosing the Right Aggregation Level for Temporal Data
- Resampling in Temporal Data
- Interactive Temporal Visualization
21 LiveLab in this lesson — see the labs panel →
05 Interactive Visualization of Geographical Data and Avoiding Common Pitfalls 7 topics · 14 LiveLab +
- Introduction
- Choropleth Maps
- Plots on Geographical Maps
- Introduction - Avoiding Common Pitfalls
- Data Formatting and Interpretation
- Data Visualization
- Cheat Sheet for the Visualization Process
14 LiveLab in this lesson — see the labs panel →
02 / FAQs
Questions before you start
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