Data Analytics: Probability distribution

Name: Data Analytics: Probability distribution
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Learn the fundamentals and importance of probability and sampling distribution in this free online data science course.

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Learning Outcomes

In this free course, you will learn how to:

Describe a simple random sampling and establish the importance of sampling
Discuss and apply marginal, union, joint and conditional probabilities
Solve problems using the laws of probability, including those of addition, multiplication and conditional probability
Explain the Bayes' rule of probability or Bayers’ Theorem
Compare descriptive and inferential statistics
Outline the concept of a sampling distribution
Identify the mean and standard deviation for a sampling distribution
Contrast populations and samples
Describe how to make calculations under probability using sampling distributions
Distinguish between a point estimate and a confidence interval estimate
Find the confidence interval estimate for the variance of a normal population

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