A/B Testing for Business Analysts (Udacity)

Offered by Udacity,
A/B Testing for Business Analysts (Udacity)

Run business experiments. The A/B Testing course provides students with the foundational knowledge to design and analyze A/B tests to create business insights and support decision making. This course is ideal for anyone who is interested in pursuing a career in business analysis, but lacks programming experience.

Class Deals by MOOC List - Click here and see Udacity's Active Discounts, Deals, and Promo Codes.

You will learn:

  • The fundamental principles of experiment design
  • How to design and analyze randomized design experiments
  • How to design and analyze matched-pair design experiments

Throughout this course you’ll also learn the techniques to apply your knowledge in a data analytics program called Alteryx.
Predictive analytics has proved to be a powerful tool to help businesses analyze data and predict future outcomes and trends. In this course, you’ll learn how to use A/B tests to predict the success of new product roll-outs, calculate the impact of website feature changes, and generate insights for other types business problems.
You'll learn this through improving your fluency in Alteryx, a data analytics tool that enables you prepare, blend, and analyze data quickly.
This course is part of the Business Analyst Nanodegree.

What You Will Learn

Lesson 1
A/B Testing Fundamentals

  • Learn how to select control and treatment units and variables for A/B tests.
  • Select the correct experiment design for an A/B test.

Lesson 2
Randomized Design Tests

  • Learn how to select the unit of diversion and duration for a randomized test.
  • Select variables for a randomized experiment.
  • Be able to interpret randomized design experiment results.

Lesson 3
Matched Pair Design Tests

  • Learn how to match control units to treatment units.
  • Determine the duration of the test.
  • Interpret matched pair design experiment results.

Lesson 4
Matched Pair Practice

  • Go through an end to end example of a matched pair A/B test.
  • Get step by step instruction to set up and analyze the test.
  • Use trends to match target and control units.

Prerequisites and Requirements
No programming experience required.
Interested in using data to make better business decisions.
Alteryx license (provided to Nanodegree students at no cost, compatible with Windows only).

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Business Metrics for Data-Driven Companies (Coursera) Coursera
Duke University

Business Metrics for Data-Driven Companies (Coursera)

In this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable. You will be able to recognize the most critical business metrics and distinguish them from mere data. You’ll get a clear picture of the vital but different roles business analysts, business data analysts, and data scientists each play in various types of companies. And you’ll know exactly what skills are required to be hired for, and succeed at, these high-demand jobs.

Sep 7th 2026
4 Weeks
Analyzing and Visualizing Data with Power BI (edX) EdX
Davidson College,DavidsonX

Analyzing and Visualizing Data with Power BI (edX)

Step up your analytics game and learn one of the most in-demand job skills in the United States. Power BI is a robust business analytics and visualization tool from Microsoft that helps data professionals bring their data to life and tell more meaningful stores. This four-week course is a beginner's guide to working with data in Power BI and is perfect for professionals. You'll become confident in working with data, creating data visualizations, and preparing reports and dashboards.

Self Paced
Self-Paced
Business Analytics Using Forecasting (FutureLearn) FutureLearn
National Tsing Hua University

Business Analytics Using Forecasting (FutureLearn)

Discover how business can harness the power of big data to make better predictive analysis. Learn how to use data to create powerful business forecasts. Organisations currently collect a vast quantity of data about suppliers, clients, employees, citizens, transactions, and much more. However, many are unaware of the predictive power this ‘big data’ has if anaylsed correctly. On this course, you’ll learn about forecasting using big data, exploring how it’s used by business as an important component of decision making.

Self Paced
5-12 Weeks
Designing, Running, and Analyzing Experiments (Coursera) Coursera
University of California, San Diego

Designing, Running, and Analyzing Experiments (Coursera)

You may never be sure whether you have an effective user experience until you have tested it with users. In this course, you’ll learn how to design user-centered experiments, how to run such experiments, and how to analyze data from these experiments in order to evaluate and validate user experiences. You will work through real-world examples of experiments from the fields of UX, IxD, and HCI, understanding issues in experiment design and analysis.

Sep 7th 2026
5-12 Weeks
Operations Research (3): Theory (Coursera) Coursera
National Taiwan University

Operations Research (3): Theory (Coursera)

Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Electrical Engineering, etc. The series of courses consists of three parts, we focus on deterministic optimization techniques, which is a major part of the field of OR. As the third part of the series, we study mathematical properties of linear programs, integer programs, and nonlinear programs.

Sep 21st 2026
5-12 Weeks
Experimental Design Basics (Coursera) Coursera
Arizona State University

Experimental Design Basics (Coursera)

This is a basic course in designing experiments and analyzing the resulting data. The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all aspects of today’s industrial and business environment. Applications from various fields will be illustrated throughout the course. Computer software packages (JMP, Design-Expert, Minitab) will be used to implement the methods presented and will be illustrated extensively.

Sep 7th 2026
5-12 Weeks
Business Analytics Executive Overview (Coursera) Coursera
University of Illinois at Urbana-Champaign

Business Analytics Executive Overview (Coursera)

This course will focus on understanding key analytics concepts and the breadth of analytic possibilities. Together, the class will explore dozens of real-world analytics problems and solutions across most major industries and business functions. The course will also touch on analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes. And the course will wrap up with a discussion of analytics trends and futures.

Sep 7th 2026
4 Weeks
The Business of Social (Coursera) Coursera
Northwestern University

The Business of Social (Coursera)

In a 2014 study of CEOs and CMOs, IBM found 63% wanted social strategies which generate business metrics while only 20% of businesses worldwide actually have them. This means strategies which not only grow your company’s social footprint but link to your sales and marketing systems. With this critical linkage, your social and mobile strategies will provide you with the ability to engage consumers at a 1-to-1 level and measure your social investments in terms of costs, revenues, profits and ROI. In this fifth MOOC of the Social Marketing Specialization - "The Business of Social" - you will learn how to transform your organization's social marketing from an untracked investment to an integral part of your company’s marketing strategy.

Aug 31st 2026
4 Weeks
Customer Analytics (Coursera) Coursera
University of Pennsylvania

Customer Analytics (Coursera)

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this brand new course, four of Wharton’s top marketing professors will dive deeper into the key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few.

Aug 31st 2026
5-12 Weeks