Professional Course

Statistics for Business Analytics: Probability

edX, Online
Length
4 weeks
Price
99 USD
Next course start
Start anytime See details
Delivery
Self-paced Online
Length
4 weeks
Price
99 USD
Next course start
Start anytime See details
Delivery
Self-paced Online
Visit this course's homepage on the provider's site to learn more or book!

Course description

Statistics for Business Analytics: Probability

This course is divided into three topics:

  • In Topic 1, we talk about the basics of probability – ideas like whether or not events can happen together, whether events can influence each other, and processes for calculating probabilities in simple situations.
  • Topic 2 is about conditional probability ; that is, the idea that we can become more certain about particular outcomes when we know the circumstances under which they are occurring.
  • In Topic 3, we discuss the "big 5" probability distributions ; powerful tools that can be used to calculate probabilities in a variety of complex situations. These distributions form the "heart" of the course and have practical applications in a wide range of real-life scenarios.

Upcoming start dates

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Start anytime

  • Self-paced Online
  • Online
  • English

Who should attend?

Prerequisites

This is an Introductory level course, with no prior knowledge in statistics required. Only a basic level of junior high school math is assumed. This is a great program for anyone who wants to gain foundational/critical analysis and statistics skills with no background.

Course delivery details

This course is offered through The University of Queensland, a partner institute of EdX.

4-8 hours per week

Costs

  • Verified Track -$99
  • Audit Track - Free

Certification / Credits

What you'll learn

Upon successful completion of this course, you will be able to:

  • Describe the basic concepts of probability.
  • Calculate basic probabilities for mutually exclusive, non-mutually exclusive and multiple independent events.
  • Calculate conditional probabilities in simple and complex situations.
  • Determine the probability of a given number of successes for discrete variables using binomial, Poisson and hypergeometric distributions.
  • Determine the probability of outcomes above or below a threshold for continuous variables using normal and exponential distributions.

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