M. Elizabeth Karns is a lawyer and epidemiologist. Her teaching is directly connected to her practice, which has focused on statistical evidence, occupational illnesses, assault and harassment injuries, and reproductive harms. Professor Karns has been involved in every aspect of the data life cycle, from initial design to post-event forensic evaluations. Her work on data science ethics brings together professional practice norms, individual values, and organizational goals. Professor Karns is currently developing a virtual reality experience based on the unintended consequences of automated fraud detection.
Statistical
FoundationsCornell Certificate Program
Overview and Courses
In today’s data-driven world, you can’t afford to be the only one at the table who lacks analytical knowledge.
This certificate program is designed for professionals who need to elevate their ability to communicate about data with colleagues — without becoming math mavens or Excel experts.
In the program, you will first strengthen your statistical vocabulary and understanding of quantitative fundamentals. Then you will use that foundation and critical tools to evaluate the validity of statistical summaries and choose statistical tests that meet your business needs. Finally, you will experiment with reporting, employ resources to interpret real-world data, and create meaningful presentations that tell the stories behind the numbers.
After completing the program, you’ll possess a more analytical mindset and increased confidence in using data to drive performance and decision-making in your organization.
The courses in this certificate program must be completed in the order they appear.
Course list
- Jan 1, 2025
- Mar 26, 2025
- Jun 18, 2025
- Sep 10, 2025
- Dec 3, 2025
- Feb 25, 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
- Jan 15, 2025
- Apr 9, 2025
- Jul 2, 2025
- Sep 24, 2025
- Dec 17, 2025
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
- Jan 29, 2025
- Apr 23, 2025
- Jul 16, 2025
- Oct 8, 2025
- Dec 31, 2025
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
- Feb 12, 2025
- May 7, 2025
- Jul 30, 2025
- Oct 22, 2025
How It Works
- View slide #1
- View slide #2
- View slide #3
- View slide #4
- View slide #5
- View slide #6
- View slide #7
- View slide #8
Faculty Author
Key Course Takeaways
- Evaluate sample summary statistics and graphic representations of variables and their relationships
- Make informed decisions based on statistical results
- Choose the right statistical test for the question you’re asking
- Apply and interpret real-world data in regression models to make predictions about new situations
Download a Brochure
Not ready to enroll but want to learn more? Download the certificate brochure to review program details.What You'll Earn
- Statistical Foundations Certificate from Cornell ILR School
- 40 Professional Development Hours (4 CEUs)
Watch the Video
Who Should Enroll
- Professionals in any industry who need to communicate and interpret data
- Business managers utilizing analytics or benchmarking and comparison
- Professionals from any business function
- Government workers engaged in policy analysis
- Healthcare professionals
- Anyone who needs to understand the reasoning and language of statistics
- Anyone who wants to get the fundamental concepts of statistics without math or formula emphasis
Explore Related Programs
Request Information Now by completing the form below.
Statistical Foundations
Select Payment Method | Cost |
---|---|
$3,600 | |