Data science courses

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

Discover the world of Amazon Web Services (AWS) and understand why it's at the forefront of cloud computing.

Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

Master the fundamentals of programming in Python. No prior knowledge required!

No one enjoys looking at spreadsheets! Bring your data to life. Improve your presentation and learn how to translate technical data into actionable insights.

Data-driven organizations consistently rely on insights to inspire action and drive change.

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.

Take your Tableau skills up a notch with advanced analytics and visualizations.

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

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

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

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

This course will take you from Snowflake's foundational architecture to mastering advanced SnowSQL techniques.

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Learn to use Python for financial analysis using basic skills, including lists, data visualization, and arrays.

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.