Statistics Fundamentals

Statistics Fundamentals Course Overview

Statistics Fundamentals introduces the foundational concepts needed to run a statistical test and interpret the results. We will overview the landscape of statistics exploring descriptive statistics and various approaches to inferential statistics. You’ll learn not only the types of approaches but also why we need different approaches and how data scientists go about selecting the best approach. In this course, you’ll also get a chance to run hypothesis tests on real and simulated data sets using Excel’s Data Analysis ToolPak. We’ll also examine key fundamental concepts like the Central Limit Theorem, Empirical Rule, and Law of Large Numbers and you’ll apply what you learn through exercises.

The topics covered in this course will support you in conducting good analysis, applying data to business decisions, and exploring the more advanced topics within the Business Intelligence and Data Analysis program such as machine algorithms.

Statistics Fundamentals Learning Objectives

Upon completing this course, you will be able to:

• Define and recognize the key branches of statistics
• Identify the various approaches to inferential statistics and their strengths and weaknesses
• Identify strategies for constructing an unbiased hypothesis test
• Assemble and perform a two-tail t-test

Who should take this course?

The Statistics Fundamentals course is perfect for anyone without a background in statistics who would like to build up their understanding or for those who just want a refresher. This course is designed to equip anyone who desires to begin a career in data analysis, quantitative analysis, business intelligence, or other areas of business and finance with an understanding of foundational statistics tools and concepts.