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.
Offert par
Introduction to Statistics
Université de StanfordÀ propos de ce cours
Basic familiarity with computers and productivity software
No calculus required
Basic familiarity with computers and productivity software
No calculus required
Offert par
Programme de cours : ce que vous apprendrez dans ce cours
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
Avis
- 5 stars69,92 %
- 4 stars20,46 %
- 3 stars5,70 %
- 2 stars2,26 %
- 1 star1,64 %
Meilleurs avis pour INTRODUCTION TO STATISTICS
If one live example is given for every concept, that would be a very great journey in understanding the concepts more. But overall a good course.
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
I really good introduction course. The weekly lecture and quiz time commitment is very manageable. The lectures/quizzes focus more on the theory rather than the number crunching.
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.
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