Data science courses

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

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

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.

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

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

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

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

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

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

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

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

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

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

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

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

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

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

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

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

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

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

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

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

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

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

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

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

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

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

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