Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Learn about data science for managers and businesses and how to use data to strengthen your organization.

Learn to clean, analyze, and visualize data with Python and SQL.

Learn how to build scalable model pipelines for data science in production environments, focusing on best practices for deployment and management.

Explore practical data science projects using Python, focusing on end-to-end project implementation, data analysis, and visualization techniques.

Simply creating a machine learning model is not enough to gain the best insights on the data. This course will teach you how to enhance a model through hyper-parameter tuning and other methods.

Data science is the practice of transforming raw data into actionable insight. This course will teach you about the tools, technologies, and trends driving the data science revolution.

Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.

Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.