Course Overview

• Evaluate and apply fundamental statistical concepts in the context of a broad range of data problems, including Bayes Theorem, standard statistical tests and biases, inference and causal inference, and hypothesis testing

• Perform in-depth exploratory analysis to form hypotheses and use visualization techniques to communicate insights

• Design experiments to answer causal questions and evaluate the results of the experiments

• Apply and evaluate machine learning algorithms in a business problem context, with an emphasis on selective predictive modeling only when appropriate

• Perform feature engineering and data preprocessing to improve the accuracy and efficacy of predictive models

General Eligibility

To be considered for a Certificate program, you must be a high school graduate or have completed your GED.

Part Time Work Details

20 hours per week

Language Requirement

• N/A