Data, AI, and Cloud Courses

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

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

Learn to perform linear and logistic regression with multiple explanatory variables.

Dive into the exciting world of APIs as we introduce you to the basics of consuming and working with Web APIs using Python.

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

Learn about data science for managers and businesses and how to use data to strengthen your organization.

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

Understand the fundamentals of Machine Learning and how its applied in the business world.

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

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

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

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

Learn to process, transform, and manipulate images at your will.

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

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

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

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

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

Discover how to make better business decisions by applying practical data frameworks—no coding required.

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

Improve data literacy skills by analyzing remote working policies.

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

Learn cutting-edge methods for integrating external data with LLMs using Retrieval Augmented Generation (RAG) with LangChain.

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

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Learn about Microsoft Copilot and 365 Copilot to enhance productivity, streamline workflows, and make informed, data-driven decisions in your business.

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

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

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

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