Data, AI, and Cloud Courses

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

Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

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

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

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

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

Discover how to begin responsibly leveraging generative AI. Learn how generative AI models are developed and how they will impact society moving forward.

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

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

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

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

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

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

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

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

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

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

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

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 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.

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

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Learn the key concepts of data modeling on Power BI.

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

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

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!