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 stars70.24%
- 4 stars20.26%
- 3 stars5.86%
- 2 stars2.09%
- 1 star1.52%
TOP REVIEWS FROM INTRODUCTION TO STATISTICS
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.
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.
Good intro course, however, if you are coming from a no-scientific background would advice you work on a few mathematical concepts prior. Namely; basic algebra & probability
The material is very, very superior. The pop-up quizzes are a great way to keep attention hooked. The end of topic quizzes require comprehensive understanding of the topic.
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