Certifications Guide: Working with Data

Learn about data science and machine learning, get hands-on experience with tools like SQL, Python, JupyterLab, and RStudio, for solving data problems.

Learn to analyze and interpret business data using Excel. Covers data cleaning, formulas, pivot tables, and basic visualizations to support decision-making and business insights.

Learn the basics of statistics and how to use R programming to explore, organize, and analyze data.

Who owns data? How do we value privacy? These and other important ethical considerations are at the core of this course. Explore the impact that data science has on modern society and examine the ethical and privacy implications of collecting and managing big data.

Learn how to use linear regression to analyze business data, interpret results, and make data-driven decisions, using Excel and real-world examples.

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.

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.

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.

This beginner level course serves as an introduction to sampling and exploring data, basic probability theory, and Bayes rule. Explore various types of sampling methods and learn exploratory data analysis techniques such as numeric summary statistics and basic data visualization. In addition, you will also learn to use R and RStudio for lab exercises and a final project.

Learn how to use relational databases in business analysis with this introductory course. You will learn how relational databases work, how to use entity-relationship diagrams, and understand how to collect data in different business contexts. This course will ultimately equip you with the skills you need to properly collect data and gain insights into the best ways to improve business performance, as well provide you with hands on practice with real databases and a portfolio you can show future employers.