Graphs and Numerical Summaries OpenCourseWare: A Free Undergraduate Math Course on Graphing Data by The Open University
'Exploring Data: Graphs and Numerical Summaries' examines several methods for exhibiting information on graphs and techniques for numerically summarizing data collected from conditions or events that are being analyzed. This is a free undergraduate-level course that is offered by the Open University. The information in this course will prove helpful to students interested in mathematics, statistical research or any discipline that depends on the computation and display of data.
Exploring Data: Graphs and Numerical Summaries: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Undergraduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
Exploring Data: Graphs and Numerical Summaries: Course Description
'Exploring Data: Graphs and Numerical Summaries' is an OpenCourseWare from Th Open University's Mathematics and Statistics Department. This course emphasizes the fundamentals of graphing data and conducting numerical analysis. It is divided into several sections covering a wide range of topics, including data analysis, pie charts and bar charts, histograms and scatterplots and numerical summaries. The course examines seven real-world data sets and how graphs and numerical summaries can be used in their analysis. Students will consider the data from sets that include nuclear power stations, the demographics of the American workforce, cirrhosis and alcoholism and surgical removal of tattoos. Students completing this course should understand that data sets have patterns that can be revealed through graphs and statistical analysis and measurements. The course also teaches students how to describe data sets and develop their sense of intuition as it relates to data analysis.
Materials for this course include online unit notes, a discussion forum, learning journal and knowledge map. If you would like to take advantage of this free course, visit the data explorations course page.
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