Learn to create stunning data visualizations using ggplot2 in R, focusing on effective storytelling through data and visual representation techniques.

Proper tools must be used to handle the vast amounts of data being processed in today's world. In this course, you will learn how to set up a Redshift cluster for your own organization.

Pandas has become the gold standard for data wrangling in applied machine learning. This course will teach you the basics of data wrangling in Python using Pandas, including basic syntax, functions, and dataframe manipulation.

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Learn how to analyze a SQL table and report insights to management.

Data-Driven Product Improvements with Amanda Gadrow at the 2019 Women in Analytics Conference.

We all work with data — but often don’t consider the big picture around it. In this fast-paced, practical introduction, quickly get up to speed on multiple ideas, tools and technologies around “data” in the business world today.

This is a course for beginners to master database design, relational databases, and SQL to fully exploit the advantages of a modern database system.

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

This course will teach you advanced parts of this library. When you’re finished with this course, you’ll have the skills and knowledge of DataFrames and Pandas needed to analyze your data with Pandas.

This course provides hands-on experience dealing with imbalanced data in machine learning, which is critical for machine learning algorithms.

Learn how to identify, analyze, remove and impute missing data in Python.