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 stars70.19%
- 4 stars20.33%
- 3 stars5.83%
- 2 stars2.10%
- 1 star1.53%
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.
Gives a great overview of every important topic in statistics. However, lots of things aren't explained thoroughly. I had to use other websites to gain a sufficient understanding of lots of material.
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 was very interesting. A lot of concepts were touched up on, but the explanation part was a little less. I can label it as a very good introductory course to Statistics.
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