Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.
Offered By
Introduction to Statistics
Stanford UniversityAbout this Course
Basic familiarity with computers and productivity software
No calculus required
Basic familiarity with computers and productivity software
No calculus required
Offered by
Syllabus - What you will learn from this course
Introduction and Descriptive Statistics for Exploring Data
Producing Data and Sampling
Probability
Normal Approximation and Binomial Distribution
Sampling Distributions and the Central Limit Theorem
Regression
Reviews
- 5 stars70.04%
- 4 stars20.45%
- 3 stars5.81%
- 2 stars2.13%
- 1 star1.55%
TOP REVIEWS FROM INTRODUCTION TO STATISTICS
Challenging but a good overview of basic principles of statistics. Will allow me to read with a more critical eye figures that are used to support arguments.
Very useful for anyone interested in basic concepts of statistics and statistical inference. It prepares one to enrol for more advanced courses like Machine Learning.
Very intersting and insightful course. I believe some topics, especially those that come up often, could have been clarified further through definitions rather than mere examples
The topics were explained very well by the instructor. Statistics can be intimidating but the professors way of teaching with examples made it easier to understand.
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