Data, AI, and Cloud Courses

Use a chatbot to create a study guide tailored to your goals and schedule. Build skills with simple, effective prompts.

Learn SQL with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.

Learn essential finance math skills with practical Excel exercises and real-world examples.

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

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

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

Visualize seasonality, trends and other patterns in your time series data.

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Learn how to identify, analyze, remove and impute missing data in Python.

Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

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

Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

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

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

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

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.

Learn how to approach and win competitions on Kaggle.

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

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

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

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

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

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