Data, AI, and Cloud Courses

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

Transform almost any dataset into a tidy format to make analysis easier.

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Learn to create your own Python packages to make your code easier to use and share with others.

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

Build the foundation you need to think statistically and to speak the language of your data.

Create new features to improve the performance of your Machine Learning models.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Take your R skills up a notch by learning to write efficient, reusable functions.