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Data Visualization Uses
Learn to find outliers, spot trends, and tell stories with dataPreview the first lesson free — get full access to all 3 lessons.
Intermediate Provider : Bill Hood 3 Lessons · 10m in Arabic, German, English, Spanish, French, Portuguese, Chinese
Course Description
Data visualization is the product of our ability to collect, organize, and plot data; and can be more akin to an art form than a programming discipline. The successful DV engineer can collect data from all sources, organize it, and plot it in short order. In these lessons, you’ll use all three components of the collect, organize, and plot approach to identify outliers and trends in data.
Both outliers and trends are much easier to see in plot form than in raw data form—just imagine one record out of 100,000 in a data set is bad data. Finding the bad data by looking at the raw data set is nearly impossible, but by plotting that same data, you’ll see how the outlier becomes immediately apparent.
What You'll Learn
- Identify outliers and trends in data using visualization techniques
- Apply the collect, organize, and plot approach to data
- Explain how to put data into models and divide it up
- Describe how to use math to express information
- View and interpret complex data through plots
- Communicate insights through data storytelling
Key Takeaways
- Data visualization is the product of collecting, organizing, and plotting data, and can be more akin to an art form than a programming discipline.
- Outliers and trends are much easier to see in plot form than in raw data form.
- A successful data visualization engineer can collect data from all sources, organize it, and plot it in short order.
- Finding a single bad record among 100,000 by examining raw data is nearly impossible, but plotting the same data makes the outlier immediately apparent.
- The course covers finding outliers and trends, viewing complex data, and storytelling.
Frequently Asked Questions
What will I learn in this course?
You will learn to identify trends and outliers using visualization techniques, explain how to put data into models and divide it up, and describe how to use math to express information.
What topics do the lessons cover?
The lessons cover Finding Outliers and Trends, Viewing Complex Data, and Storytelling.
Why use visualization instead of looking at raw data?
Both outliers and trends are much easier to see in plot form than in raw data form; for example, finding one bad record out of 100,000 is nearly impossible in a raw data set but becomes immediately apparent when plotted.
What skills does this course help build?
It helps build skills in Data Storytelling, Data Visualization, Information Visualization, Scientific Visualization, Visual Analytics, and Visualization.
What approach does the course teach for working with data?
It teaches the collect, organize, and plot approach, using all three components to identify outliers and trends in data.
