Data, AI, and Cloud Courses

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

Learn how to analyze data with PivotTables and intermediate logical functions before moving on to tools such as what-if analysis and forecasting.

An introduction to data visualization with no coding involved.

Power BI is a powerful data visualization tool that can be used in reports and dashboards.

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

Learn the role Generative Artificial Intelligence plays today and will play in the future in a business environment.

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.

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.

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

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

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

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

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

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

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

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

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

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

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

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

Dive deep into the principles and best practices of prompt engineering to leverage powerful language models like ChatGPT to solve real-world problems.

Learn the key concepts of data modeling on Power BI.

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

Elevate your data storytelling skills and discover how to tell great stories that drive change with your audience.

Learn how to create queries for analytics and data engineering with window functions, the SQL secret weapon!

Discover how to build AI-powered applications using LLMs, prompts, chains, and agents in LangChain.

Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!