Data, AI, and Cloud Courses

Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

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

Discover how to use the income statement and balance sheet in Power BI

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

Learn how to work with streaming data using serverless technologies on AWS.

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.

Master Amazon Redshifts SQL, data management, optimization, and security.

Discover how the Pinecone vector database is revolutionizing AI application development!

Learn how bonds work and how to price them and assess some of their risks using the numpy and numpy-financial packages.

Use your knowledge of common spreadsheet functions and techniques to explore Python!

This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Learn how to develop deep learning models with Keras.

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

Master data fluency! Learn skills for individuals and organizations, understand behaviors, and build a data-fluent culture.

Learn about GARCH Models, how to implement them and calibrate them on financial data from stocks to foreign exchange.

In this course youll learn how to leverage statistical techniques for working with categorical data.

Learn how to write recursive queries and query hierarchical data structures.

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

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

This course covers everything you need to know to build a basic machine learning monitoring system in Python