Certificate Programs - eCornell
In today’s data-driven world, advanced data modeling techniques are essential for enabling informed decision making and strategic planning.
This certificate program is designed to help you understand predictive modeling, with a focus on making accurate predictions using various types of data. Throughout this program, you will explore models such as polynomial regression, splines, and generalized additive models. These models are used to analyze complex relationships within datasets that may include both numerical and categorical variables. You will also gain practical skills in building models using R, which will allow you to examine how different types of information can be combined to make predictions. You will have the opportunity to practice modeling interactions between different types of data, such as categories and numbers, and use decision trees to understand complex relationships that linear models are unable to capture. By the end of the program, you will be able to create and evaluate predictive models, equipping you with valuable skills for decision making in a variety of industries.
To be successful in this course, you should have a foundation in R programming and be able to leverage those skills to create and summarize datasets with visualizations, interpret data, employ simulations, use linear regression, clean data, and create visualizations. Experience with R will be critical to success as we don’t explicitly teach how to use R in this certificate. High school or college level math and algebra are also recommended. If you do not have this experience, start with the Data Science Essentials certificate program.
The courses in this certificate program are required to be completed in the order that they appear.