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 stars69.80%
- 4 stars20.52%
- 3 stars5.73%
- 2 stars2.27%
- 1 star1.65%
TOP REVIEWS FROM INTRODUCTION TO STATISTICS
It was short and informational, but the knowledge is somehow deep for beginners. Maybe the lecturer elaborating a little bit more on major concepts would be profitable for beginners.
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.
Amazing course, I especially enjoyed the tests and exercises which led to applicable knowledge and higher confidence. Huge THANK YOU to everyone involved!
The course content presenter is very experienced and he presented the material in very intutive way. Thank you very much Sir for sharing your knowledge and experience.
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