Descriptions

Introduction to Statistics, 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. Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons.

What you’ll learn

• provides an overview of the course and a review of the main tools used in descriptive statistics to visualize information.
• you will look at the main concepts for sampling and designing experiments. You will learn about curious pitfalls and how to evaluate the effectiveness of such experiments.
• you will learn about the definition of probability and the essential rules of probability that you will need for solving both simple and complex challenges
• You will also learn about the binomial distribution and the basics of random variables.

Specificatoin of Introduction to Statistics

• Publisher : Coursera
• Teacher : Guenther Walther
• Language : English
• Level : Beginner
• Number of Course : 12
• Duration : Approx. 14 hours

Content of Introduction to Statistics

Requirements

• Basic familiarity with computers and productivity software
• No calculus required

Pictures

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Subtitle : English

Quality: 720p

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412 MB