Course list

This course aims to make statistical analysis approachable and practical, as you learn how to read and interpret statistical reports in a business environment, and how to communicate statistical results to stakeholders. First, you will practice assessing the statistical components and representations of statistical results in a case study. You will then identify the appropriate method and conduct a summary analysis of a data set. Finally, you will prepare an executive summary of the key statistical points identified through your analysis and create a narrative summary with supporting graphics.
  • May 20, 2026
  • Jul 1, 2026
  • Aug 12, 2026
  • Nov 4, 2026

In this course, you will practice making informed decisions based on statistical results. You will be introduced to the techniques you will use to view statistical tests critically and recognize the limitations of statistical conclusions. Next, you will examine statistical reports in order to identify the underlying research question. You will then use these insights to compare tests and rate their validity. Finally, you will prepare a report for stakeholders, providing recommendations based on your interpretation of statistical results.

You are required to have completed the following course or have equivalent experience before taking this course:

  • Interpreting and Communicating Data
  • Jun 3, 2026
  • Jul 15, 2026
  • Aug 26, 2026
  • Nov 18, 2026

Choosing the most appropriate statistical test to answer your research questions will affect every aspect of your report. This course will focus on identifying the right test for your question. You will explore the relationship between the data set and the results obtained through statistical tests. You will practice writing a memo to your data analyst specifying the appropriate statistical test to answer your question. In selecting your testing methods, you will also consider the ethical implications of the test results.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Interpreting and Communicating Data
  • Using Statistical Test to Make Decisions
  • Mar 25, 2026
  • Jun 17, 2026
  • Jul 29, 2026
  • Sep 9, 2026
  • Dec 2, 2026

Making statistical predictions based on real-world data is complex and requires a more rigorous statistical model. In this course, you will learn to apply multivariate regression statistical models to make predictions. First, you will identify the variables that best explain your results and define the relationships between dependent and independent variables. You will then practice identifying and interpreting the results of a multiple regression model and making predictions based on that model.

You are required to have completed the following courses or have equivalent experience before taking this course:

  • Interpreting and Communicating Data
  • Using Statistical Test to Make Decisions
  • Applying Statistical Tests
  • Apr 8, 2026
  • Jul 1, 2026
  • Aug 12, 2026
  • Sep 23, 2026
  • Dec 16, 2026

eCornell Online Workshops are live, interactive 3-hour learning experiences led by Cornell faculty experts. These premium short-format sessions focus on AI topics and are designed for busy professionals who want to gain immediately applicable skills and strategic perspectives. Workshops include faculty presentations, breakout discussions, and guided hands-on practice.

The AI Workshops All-Access Pass provides you with unlimited participation for 6 months from your date of purchase. Whether you choose to attend one workshop per month, or several per week, the All-Access Pass will allow you to customize your AI journey and stay on top of the latest AI trends.

Workshops cover a range of cutting-edge AI topics applicable across industries, hosted by Cornell faculty at the forefront of their fields. Whether you are just getting started with AI, seeking to build your AI skillset, or exploring advanced applications of AI, Workshops will provide you with an action-oriented learning experience for immediate application in your career. Sample Workshops include:

  • Work Smarter with AI Agents: Individual and Team Effectiveness
  • Leading AI Transformation: Bigger Than You Imagine, Harder Than You Expect
  • Using AI at Work: Practical Choices and Better Results
  • Search & Discoverability in the Era of AI
  • Don't Just Prompt AI - Govern it
  • AI-Powered Product Manager
  • Leverage AI and Human Connection to Lead through Uncertainty

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How It Works

“
I like to think outside of the box, and this program from eCornell helped me conceptualize how I want to approach data problems going forward. I was able to actually apply new course concepts to my work, rather than simply repeat steps with different values.
‐ Mark T.
Mark T.

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