Data science courses

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

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

Learn the key concepts of data modeling on Power BI.

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

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

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.

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

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

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

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

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

Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

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 its at the forefront of cloud computing.

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

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

Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

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

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

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

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

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

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

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

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

You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

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