As a data analyst, you might know how to make one using programs like Excel or Tableau. Specifically, this course titled Data Visualization for Data Analysis and Analytics aims to move beyond simply using certain tools and thinking of ways to communicate data more effectively. The prime concerns of Bill Shander of Beehive Media are the general hurdles analysts encounter when it comes to information communication. He continues the discussion, explaining how one can facilitate and enhance this process using visuals.
Bill explores some of the primary approaches to visualizing data and provides seven tips and three rules of data visualization regardless of the program used. He also describes innovative approaches to redesigning and optimizing the slides, charts, diagrams, and dashboards that you employ daily. This course is devoted to the development of data presentation skills.
Data Visualization for Data Analysis and Analytics Table of Contents:
- Introduction
- Moving from analysis to visualization (45s)
- 1. Why
- Humans are visual creatures (3m 45s)
- Understanding visual perception (5m 21s)
- Meeting communications challenges (4m 21s)
- Focus using the KWYs (4m 50s)
- 2. Visual Analysis in Six Easy Lessons
- Where to begin? Matrix heatmaps (2m 11s)
- Where to go next? Distributions (2m 16s)
- Scatterplot mania (3m 10s)
- Bars, pies, and lines, why not? (2m 26s)
- Benchmarking everything (2m 16s)
- Quick and ugly is fine (1m 24s)
- 3. Visual Communication in 10 Easy Lessons
- 4. In Practice
- Finding the missing link with visuals (2m 29s)
- Rethinking some charts (12m 10s)
- The power of simplification: Convincing your bosses (7m 47s)
- 5. Conclusion
- Further resources (1m 38s)
Who is this course for?
- Data analysts’ self-identified professional development priorities include enhancing their persuasive communication abilities.
- Anyone who works with Excel, tableau, or any other analytical and/or data tool
- Any person who is involved in presenting complicated data on a daily basis
- People who wish to make improvements in the way they interpret particular figures.
- Anyone who wants to shift their perspective with regard to data presentation to the strategic level
