Ai+ Training

The emergence of data science as a discipline has impacted businesses in a range of different ways. One primary impact has been to elevate the use of data in decision-making by using statistical methods to assess the ever-growing datasets companies are collecting. This workshop will review and introduce statistical techniques and touch on more advanced methods for dealing with noisy data and applying real-world constraints to analyses. This workshop assumes a working knowledge of standard statistical methods and will aim to connect theory to practice using real-world examples.

Lesson 1: Descriptive statistics and exploring data statistically

- (Re)familiarize yourself with basic descriptive statistics
- Use simple data exploration techniques to identify problems and limitations of a new dataset

Lesson 2: Statistical analyses

- Review of statistical tests to compare datasets and groups within those data
- Assessments of correlations and other qualities of the data with an eye towards modeling

Lesson 3: More advanced analyses and methods

- Linear modeling and the statistical outputs thereof
- Stats -> ML: connections and methodologies