Introduction to GPTs
Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.
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Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.
Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.
Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.
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Visualize seasonality, trends and other patterns in your time series data.
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Explore ways to work with date and time data in SQL Server for time series analysis
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.
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.
Learn how to approach and win competitions on Kaggle.
Learn SQL with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!
Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.
Learn to use Amazon Bedrock to access foundation AI models and build with AI - without managing complex infrastructure.
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.
Create a go-to-market strategy with generative AI: target industries, generate leads, and optimize website keywords.
This course will show you how to integrate spatial data into your Python Data Science workflow.
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!
Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.
In this course, students will learn to write queries that are both efficient and easy to read and understand.
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.