Data, AI, and Cloud Courses

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

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

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Visualize seasonality, trends and other patterns in your time series data.

Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

Learn how to work with streaming data using serverless technologies on AWS.

In this course, students will learn to write queries that are both efficient and easy to read and understand.

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Using Python and NumPy, learn the most fundamental financial concepts.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

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

Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.

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

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

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Learn to manipulate and analyze flexibly structured data with MongoDB.

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

You will use Net Revenue Management techniques in Excel for a Fast Moving Consumer Goods company.

This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

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

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

Analyze text data in R using the tidy framework.

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

Learn how to detect fraud using Python.

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