Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.

Learn data analysis and visualization techniques using R, covering essential concepts, libraries, and practical applications for effective data storytelling.

Learn to use Pandas and NumPy libraries for data manipulation and analysis in Python.

Get introduced to data analytics methods for extracting insights from data.

This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services.

Data is all around us, which makes data literacy an essential life skill.

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

Learn the fundamentals of data science using Python, covering essential concepts, tools, and techniques for effective data analysis.

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

Learn how to run t-tests and binomial tests in this introduction to Hypothesis Testing.

In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

This course introduces students to basic Informix terminology, system access, and data types.