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This course teaches data analytics using random samples to understand populations, covering probability, statistics, distributions, sampling methods, and more
15 hours of learning
Probability
Ad Copywriting
Stat Inference
What You Will Learn
This session introduces basic probability concepts through an example. You'll learn to quantify event outcomes with random variables, find their probability distributions, and calculate the expected value for X.
Topics Covered
This session explores common discrete probability distributions, such as binomial and uniform, and introduces cumulative probability, preparing you for continuous distributions next.
Topics Covered
This session delves into cumulative probability for continuous variables, contrasting it with discrete variables. You'll also learn about the normal distribution, common among continuous random variables.
Topics Covered
This session explains what a sample is and its susceptibility to error. Learn to quantify sampling errors using the central limit theorem, a key statistical concept.
Topics Covered
This session focuses on the process of acquiring sample data. Understanding this is crucial because incorrect data collection can render even accurate applications of the central limit theorem ineffective.
Topics Covered
Earn and Share Your Certificate
Official & Verifiable
Receive a signed and verifiable e-certificate from upGrad upon successfully completing the course.
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