Raw data is messy, and the goal of this course is to increase your competencies around how to capture, curate,
manipulate, and analyze raw data as part of a visualization process. Here, you will learn about commonly utilized
statistics concepts such as: descriptive and inferential statistics, probability, histograms, statistical measures, sampling, distributions, correlation, regression, and fitting to data sets. You will become familiar with the
shortcomings and challenges of data, and you will use industry-leading visualization applications to help you
think about and model data sets. By the end of this course, you will be prepared to design with data in an
intentional way, and you will have the foundation needed for the more advanced Statistics & Analysis course to
follow.
Info. Visualization Only