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.
About this Course
Skills you will gain
- R Programming
- Exploratory Data Analysis
Syllabus - What you will learn from this course
About Introduction to Probability and Data
Introduction to Data
Introduction to Data Project
Exploratory Data Analysis and Introduction to Inference
- 5 stars78.29%
- 4 stars17.39%
- 3 stars2.42%
- 2 stars0.64%
- 1 star1.23%
TOP REVIEWS FROM INTRODUCTION TO PROBABILITY AND DATA WITH R
After trying several courses to get me started with R programming, this one came to the rescue and had all the info I wanted. It also provides a great way to practice through labs and a final project!
They could have touched more R. Otherwise everything is fine. But it is very easy to clear the course. Even the peer reviewed assignment is wrongly reviewed many times whether positive or negative.
Great course! Explained the concepts so clear and crisp and the exercises with R are great. The project reinforces all the concepts. All in all, a great course for beginners in statistics and R.
The course is pretty nice, I learned some new statistics concepts although the knowledge is not so in-depth. The course also needs more tutorials on R. However, the assignments are quite good
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