Liz Karns is an epidemiologist and lawyer. Her research interests involve worker health and safety, ethical responsibilities in the conduct of data analysis, and the economic consequences of sexual assault and harassment. Her practice has ranged from individual juvenile clients to large multinational corporations. She is interested in fostering an intellectual environment for students that integrates science, law, and societal needs.
Making Predictions With Data Models
Data Models
Making Predictions With Data Models ()
Cornell Course
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Course Overview
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
Key Course Takeaways
- Interpret the variable of interest and its statistical significance while adjusting for potential confounders
- Choose the best model based on relative strength and significance
- Expand the model to improve the fit using multiple regression
How It Works
Effort
3-5 hours per week
Format
100% online, instructor-led
Course Author
Senior Lecturer, Social Statistics, Cornell ILR School
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
Get It Done
100% Online
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