Data visualization has rapidly become a critical part of business analytics and business communications. Without visualization, the numbers and statistics of analytics are difficult to interpret and incomprehensible to many who need to turn data into knowledge. The advent of big data, with the increasing volume and velocity of data, requires visualization as a technique to compress large volumes of data into digestible presentations and to observe streaming data in motion.

Although most people are familiar with data visualization in the context of business intelligence dashboards, this is only the tip of the iceberg. In this hands-on course, you will learn to use visualizations the way data scientists use them—to get to the “why” of what’s going on in the business.

In this course, you will learn to use visualizations such as histograms, scatter plots, and box plots to perform exploratory data analysis (EDA). EDA is not only a fundamental skill for data analysts/scientists, it’s also a fundamental skill for any data-literate professional.

The explosion of data has made data visualization a core competency for organizations as insights can no longer be derived from rows and columns. Analytical insights start and end with the story and storytelling skills are essential for understanding the message and gaining value from the data. Storytelling involves understanding the message, understanding the audience, and crafting the visuals to deliver insights to stakeholders.