Data science courses

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

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

Learn how to design and implement triggers in SQL Server using real-world examples.

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

Learn to use the Census API to work with demographic and socioeconomic data.

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Learn to process sensitive information with privacy-preserving techniques.

Learn how to pull character strings apart, put them back together and use the stringr package.

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

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

Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.

Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Use survival analysis to work with time-to-event data and predict survival time.

Learn to solve increasingly complex problems using simulations to generate and analyze data.

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Learn how to create and assess measurement models used to confirm the structure of a scale or questionnaire.

Learn how to build a model to automatically classify items in a school budget.

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

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

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Learn how to visualize time series in R, then practice with a stock-picking case study.