Certifications Guide

Develops core skills in business data analysis. Covers descriptive statistics, probability, hypothesis testing, and regression analysis, equipping students with practical tools for data-driven decision-making.

Learn to transform data into actionable insights using Tableau. Covers data preparation, creating visualizations, interactive dashboards, and storytelling with data through a hands-on Capstone Project.

Introduces programming concepts using MATLAB, covering topics like variables, functions, and control flow through hands-on exercises.

An introductory course that teaches the core concepts of computer science and programming, including algorithms, data structures, software engineering, and web development, with the option to audit individual modules.

Learn the core skills to transition from Excel to Power BI. This course covers importing and transforming data, building data models, creating visualizations and reports, and publishing dashboards. 

Get started with linear regression models with this Duke University course. Learn about the underlying theory, as well as how to fit, examine, and utilize regression models to analyze the relationship between multiple variables. Apply what you learn to data examples using R and RStudio.

An introductory course to SPSS and basic statistics used in the social sciences. The tutorials will guide you, step-by-step, through the basics of SPSS, as well as how to produce commonly used statistics. No prior experience with SPSS necessary.

Learn how to use Python for data science. This course will cover the basics of the Python programming environment, fundamental Python programming, and data manipulation and cleaning techniques in order to teach you how to use Python to clean tabular data, manipulate tabular data, and run basic inferential statistical analyses.

The first in Alteryx's Certification Program, this program covers the "core" toolset including the most used tools and features. To become certified, students need to pass an exam.