Data, AI, and Cloud Courses

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

Explore ways to work with date and time data in SQL Server for time series analysis

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

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

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

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

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

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

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.

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

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

Learn how to approach and win competitions on Kaggle.

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

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

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

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

In this course, youll learn how to import and manage financial data in Python using various tools and sources.

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

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

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

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

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

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

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.

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

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

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