Data, AI, and Cloud Courses

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

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

Learn to build pipelines that stand the test of time.

Discover how to talk to your data using text-to-query AI agents with MongoDB and LangGraph.

Build AI agentic workflows that can plan, search, remember, and collaborate, using LlamaIndex.

Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.

Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.

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

This course is for R users who want to get up to speed with Python!

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

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 how to build a graphical dashboard with Google Sheets to track the performance of financial securities.

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Streamline your AI projects by building modular models and mastering advanced optimization with PyTorch Lightning!

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

Learn how to load, transform, and transcribe speech from raw audio files in Python.

Learn how to use Python to analyze customer churn and build a model to predict it.

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

Learn how to develop deep learning models with Keras.

Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.

Unlock your datas potential by learning to detect and mitigate bias for precise analysis and reliable models.

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

Learn survey design using common design structures followed by visualizing and analyzing survey results.

Learn how to design and implement triggers in SQL Server using real-world examples.

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

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

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.