Data science courses

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

Learn to manipulate and analyze flexibly structured data with MongoDB.

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

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

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

Learn the core techniques necessary to extract meaningful insights from time series data.

Analyze text data in R using the tidy framework.

Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.

Learn about LLMOps from ideation to deployment, gain insights into the lifecycle and challenges, and learn how to apply these concepts to your applications.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

In this course, students will learn to write queries that are both efficient and easy to read and understand.

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Learn how to detect fraud using Python.

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

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

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.