About this course: This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.
Taught by:
Roger D. Peng, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by:
Jeff Leek, Associate Professor, Biostatistics
Bloomberg School of Public Health
Taught by:
Brian Caffo, Professor, Biostatistics
Bloomberg School of Public Health
| Basic Info | Course 4 of 10 in the Data Science Specialization. |
| Language | English, Subtitles: Portuguese (Brazilian), Chinese |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
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