Data, AI, and Cloud Courses

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

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

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

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

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

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

Leverage the OpenAI API to get your AI applications ready for production.

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

Learn essential finance math skills with practical Excel exercises and real-world examples.

In this course you will learn the basics of machine learning for classification.

Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

Get to grips with the foundational components of LangChain agents and build custom chat agents.

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Explore the latest techniques for running the Llama LLM locally and integrating it within your stack.

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!