Data, AI, and Cloud Courses

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

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

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

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

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

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

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

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

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

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

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

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.

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

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

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

Build AI teams that work together, automate workflows, and generate content with CrewAI.

Learn to create, secure, and manage APIs with Azure API Management through hands-on practice.

Develop the skills you need to clean raw data and transform it into accurate insights.

Master RAG with Weaviate! Embed text and images for retrieval, and experiment with vector, BM25, and hybrid search.

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

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

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.

In this course youll learn techniques for performing statistical inference on numerical data.

Learn how to develop deep learning models with Keras.

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

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

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

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