This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes' rule. You will examine various types of sampling methods, and discuss how such methods can impact the scope of inference. A variety of exploratory data analysis techniques will be covered, including numeric summary statistics and basic data visualization. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The concepts and techniques in this course will serve as building blocks for the inference and modeling courses in the Specialization.
Experimental Design
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Skills You'll Learn
Data Analysis, Probability & Statistics, General Statistics, Statistical Programming, Probability Distribution, Computer Programming
Reviews
4.7 (5,644 ratings)
- 5 stars78.31%
- 4 stars17.27%
- 3 stars2.48%
- 2 stars0.65%
- 1 star1.27%
KC
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The only thing I may have not liked in this course is that they do help you in forums and that kind of stuff but a little video for your first R assignment with some of the R basics would be great.
GL
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The final project is quite challenging but I have learned so much from this course. The lecture is great and the professor explains each concept well with examples. Really worthy of taking!!!
From the lesson
Introduction to Data
Taught By
Mine Çetinkaya-Rundel
Associate Professor of the Practice