Data, AI, and Cloud Courses

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

Learn the core techniques necessary to extract meaningful insights from time series data.

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

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

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

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

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

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

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

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

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

Learn how to approach and win competitions on Kaggle.

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

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

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

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

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

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

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

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

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

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

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

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

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

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.

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

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.