Applied Data Analysis, AB

The Applied Data Analysis program is designed to give students with wide and varied interests the tools to further explore computational techniques for data retrieval, analysis, and reporting.

A student who completes the ADA major will have been exposed to programming principles and paradigms, industry-favored programming languages, contemporary data analysis software, and key insights on how to data can inform their understanding.

Program Goals:

1. Students will be able to evaluate and apply fundamental statistical concepts in the context of a broad range of data problems, including Bayes Theorem, common statistical tests and biases, inference and causal inference and hypothesis testing.
2. Students will be able to perform in-depth exploratory analysis to form hypotheses and use visualization techniques to communicate insights.
3. Students will be able to apply and evaluate machine learning algorithms in a business problem context, with an emphasis on selecting predictive modelling only when appropriate.
4. Students will be able to perform feature engineering and data preprocessing in order to improve the accuracy and efficacy of predictive models.