Data, AI, and Cloud Courses

Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.

Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.

An introduction to data visualization with no coding involved.

Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Data-driven organizations consistently rely on insights to inspire action and drive change.

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Learn to combine data from multiple tables by joining data together using pandas.

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

Snowflake is a top data warehousing platform. Learn how they use Snowsight, a user-friendly SQL interface for accessing and exploring data.

Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.

Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.

You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.

Unlock the power of ChatGPT with better prompts, accurate responses, and safe AI use. Improve efficiency and get the most from AI conversations!

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

Learn the key components of building a strong data culture within an organization.

Learn to design databases in SQL to process, store, and organize data in a more efficient way.

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

Learn how to create, customize, and share data visualizations using Matplotlib.

Discover how to extract business value from AI. Learn to scope opportunities for AI, create POCs, implement solutions, and develop an AI strategy.

Learn the key concepts of data modeling on Power BI.

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

Learn how to create one of the most efficient ways of storing data - relational databases!

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

Explore what AI is and how to use it responsibly for smarter, more productive work!