Data, AI, and Cloud Courses

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

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

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.

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.

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

Learn to manipulate and analyze flexibly structured data with MongoDB.

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

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

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

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

Learn how to detect fraud using Python.

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

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

Analyze text data in R using the tidy framework.

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