Data, AI, and Cloud Courses

Gain a clear understanding of data privacy principles and how to implement privacy and security processes.

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 how to use graphical and numerical techniques to begin uncovering the structure of your data.

Master AWS cloud technology with hands-on learning and practical applications in the AWS ecosystem.

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

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

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

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

Learn how to manipulate and visualize categorical data using pandas and seaborn.

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

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

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

Discover how the Pinecone vector database is revolutionizing AI application development!

Learn to retrieve and parse information from the internet using the Python library scrapy.

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

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Learn the fundamentals of working with big data with PySpark.

Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

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

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

Step right into the dynamic world of data modeling with Snowflake!

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

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

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Create interactive data visualizations in Python using Plotly.

Build powerful multi-agent systems by applying emerging agentic design patterns in the LangGraph framework.

In this course youll learn the basics of working with time series data.

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

Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.