AAI 101 – Data Analysis Fundamentals

Welcome to the World of Data Analysis.

This hands-on, beginner-friendly course introduces learners to the core concepts and real-world skills of data analysis. Designed for those with little to no background in math or programming, the course focuses on building confidence in working with data from raw spreadsheets to visual insights.

Students will learn how to collect, clean, organize, and interpret data using industry tools such as Excel and beginner-level Python. Topics include descriptive statistics, data visualization, probability, correlation, linear regression, and basic hypothesis testing. By the end of the course, students will know how to create charts, summarize findings, spot trends, and make data-driven decisions.

Throughout the course, students complete mini projects based on real or self-collected data; preparing them for entry-level roles in business, marketing, operations, and research support.

Learning Outcomes:

By the end of this course, students will be able to:

• Identify and apply statistical measures such as mean, median, mode, range, and standard deviation

• Interpret data through tables, histograms, bar charts, box plots, and scatter plots

• Clean and prepare raw data for analysis using spreadsheets or beginner Python

• Apply basic probability and understand distributions

• Conduct simple linear regression and interpret correlation

• Summarize findings in a clear, professional format

• Present insights using effective visualizations and verbal communication

• Complete an independent data project from start to finish