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.
Ofrecido Por
Introduction to Statistics
Universidad de StanfordAcerca de este Curso
Basic familiarity with computers and productivity software
No calculus required
Basic familiarity with computers and productivity software
No calculus required
Ofrecido por
Programa - Qué aprenderás en este curso
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
Reseñas
- 5 stars69,69 %
- 4 stars20,63 %
- 3 stars5,76 %
- 2 stars2,23 %
- 1 star1,66 %
Principales reseñas sobre 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.
The course is very informative and easy to understand. Each topic was explained clearly with examples. Hope that there will be an advanced course
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.
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.
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