Data, AI, and Cloud Courses

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

This course will show you how to integrate spatial data into your Python Data Science workflow.

Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

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!

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

Explore GDPR through real-world cases on data rights, breaches, and compliance challenges.

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.

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

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

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

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

Explore ways to work with date and time data in SQL Server for time series analysis

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

Learn how to approach and win competitions on Kaggle.

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

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Using Python and NumPy, learn the most fundamental financial concepts.

In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.