Data, AI, and Cloud Courses

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

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

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

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

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!

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

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

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.

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

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

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

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

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

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

Learn how to approach and win competitions on Kaggle.

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

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

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

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

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 tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

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

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

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

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

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

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

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