Data, AI, and Cloud Courses

In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

Learn to create animated graphics and linked views entirely in R with plotly.

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

Use C++ to dramatically boost the performance of your R code.

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

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

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

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

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

Learn how to set up and manage your Microsoft Fabric infrastructure.

Test a chatbot that matches customers with ideal skincare products using your prompting skills for personalized results.

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

Analyze market dynamics and craft a strategic entry plan for an EV manufacturer using generative AI.

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

Learn how to reduce training times for large language models with Accelerator and Trainer for distributed training

Interact with a customized GPT and use your prompting skills to plan and open your restaurant.

Explore Azure services like Compute, Storage, and Automation, with hands-on experience.

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

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

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

Learn to create compelling data visualizations with KNIME, covering charts, components, and dashboards.

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.