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Statistics Fundamentals

For just $99, master all the basics of Statistics in a business context. Developed in partnership with online learning experts, Kaplan, this course gives you the confidence you need to hit the ground running in your MBA or master's program.

 

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In this course, you will:

  • Learn how to analyze, summarize, and leverage spreadsheets
  • Practice displaying data to guide business decisions
  • Explore Probability Theory and the Normal Distribution Model
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What's Included:

  • Lessons based on real-world business scenarios and taught by experts
  • Quizzes and tests to check your understanding of topics
  • Ability to send your completion reports to unlimited schools
  • Digital credential to boost your professional profile
  • 24/7 accessibility on mobile and desktop

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Cover all the key topics in Finance, Accounting, and Statistics. With the Business Fundamentals bundle, you get access to all three courses for the price of two.

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Course Topics

Topic #1: Descriptive Statistics

The Descriptive Statistics portion of this course sets the groundwork of what Statistics is and how we talk about it.  The topic begins with an introduction to the basics of data and the vocabulary of Statistics before moving on to the numerous ways we can describe, display, and categorize Statistical data.

Topic #2: Randomization, Sampling, and Experiments

The second topic of this course dives into greater detail on some of the key tools we make use of in the field of Statistics.  Learners will be introduced to the concept of randomness and the ramifications of it to the study of Statistics as well as the ways we can work with and control it when performing statistical calculations.  This leads into a discussion of how we define experiments in the field of Statistics along with when and how to set them up.

Topic #3: Probability Theory

The final topic of our Statistics course is a discussion of probability theory, which is a foundational concept to the field.  After we set the groundwork with the basics of probability and the tools we have to calculate it, students will learn how to identify random variables and perform calculations using them, before we conclude our discussion by introducing the Normal Model.

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