Data, AI, and Cloud Courses

Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.

In this course you will learn to fit hierarchical models with random effects.

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

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

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

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

Learn how to approach and win competitions on Kaggle.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.

Create more accurate and reliable RAG systems with Graph RAG and hybrid RAG.

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

In this course youll learn about basic experimental design, a crucial part of any data analysis.

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

In this course youll learn to use and present logistic regression models for making predictions.

Learn to design and run your own Monte Carlo simulations using Python!

Leverage the power of Python and PuLP to optimize supply chains.

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

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

Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

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