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Statistics Fundamentals

Starting from the basics of descriptive Statistics and building to more complex topics like probability theory or normal modeling, this course provides an introduction to statistics concepts and the practices used in statistical analysis. The course is comprised of self-paced lessons that were designed and delivered by experts. The combination of high-quality quizzes, written material, rich media, and application-based practice builds students' skills in the language and math of Statistics as well as the usage of Excel and similar spreadsheet software.
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What's Included:

  • On-demand classes taught by experts
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  • Course content approved by business school professors
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  • Lessons based on real-world business scenarios
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  • Quizzes and exercises to reinforce mastery
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  • 24/7 accessibility on mobile and desktop
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By the End of This Course You Will Learn:

  1. Develop fluency with the basic language of statistics.
  2. Present and describe quantitative and categorical data distributions using appropriate visualizations and summaries.
  3. Describe and employ appropriate sampling techniques.
  4. Analyze and critique elements of experimental design.
  5. Compute and interpret theoretical probabilities, including those derived from normal distributions.
  6. Evaluate and critique business case studies using the tools of statistics.

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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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Statistics Fundamentals Course Topics

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.

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.

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.