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
Certificate Program
Statistical Foundations (ILRC01)
Tell me more!Online
$2,999
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 will familiarize you with basic statistical concepts and terminology that will help you become a better reader and producer of meaningful data reports for your business. You will learn how to evaluate statistical summaries and apply critical tools to assess their validity. You will practice creating the most effective graphic presentation for your reports. As part of this certificate, you will explore a variety of statistical tests and learn how to choose the right test for your needs. Finally, you will have an opportunity to experiment with more complex reporting tools and apply them to interpret real-world data.
You’ll come away from the program with a more analytical mindset and increased confidence to work with data and data analysts to drive performance and decision-making in your organization.
The courses in this certificate program are required to be completed in the order that they appear.
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.
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View Course Details- Mar 26, 2025
- Jun 18, 2025
- Sep 10, 2025
- Dec 3, 2025
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
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View Course Details- 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
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View Course Details- 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
View Course Start Dates Hide Course Start Dates
View Course Details- May 7, 2025
- Jul 30, 2025
- Oct 22, 2025
How It Works
Format
All Online
Time Commitment
2 months with 3-5 hours of study per week
Cost
$2,999
Learn From Top Minds
Courses are developed by Cornell faculty.
Power Your Career
Gain today’s most in-demand skills to stand apart.
Flexibility Fits Your Life
Learn on your schedule without stepping out of your job.
Small-class Experience
Participate in facilitated discussions and live sessions with industry peers.
Real-world Projects
Apply learnings and insights to your work to make an impact right away.
Personalized Feedback
Enjoy meaningful feedback on assignments from expert facilitators.
Format
All Online
Time Commitment
2 months with 3-5 hours of study per week
Cost
$2,999
Learn From Top Minds
Courses are developed by Cornell faculty.
Power Your Career
Gain today’s most in-demand skills to stand apart.
Flexibility Fits Your Life
Learn on your schedule without stepping out of your job.
Small-class Experience
Participate in facilitated discussions and live sessions with industry peers.
Real-world Projects
Apply learnings and insights to your work to make an impact right away.
Personalized Feedback
Enjoy meaningful feedback on assignments from expert facilitators.
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Faculty Author
Senior Lecturer, Social Statistics, Cornell ILR School
Key Course Takeaways
- Evaluate sample summary statistics and graphic representations of variables and their relationships
- Make an informed decision 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 Brochure
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with us.
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)
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Hear eCornell students share their stories.
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
“Getting the Data Analytics certificate meant a lot to me because my job search process was pretty lengthy, and I felt that when I finally did get the job, I don’t know if that door would have been opened had it not been for the eCornell program. It literally did change my life!”
Nick G.
Data Analytics StudentRequest Information Now by completing the form below.
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2999
Statistical Foundations
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