Data Academy
Empower your organizations employees with our curated portfolio of self-paced programs, designed to build essential data skills and drive success in a data-driven world.
Build the data skills you need to stay competitive
With most data leaders citing data skills as a top challenge, the need for data literacy has never been greater. Empower your teams to unlock insights and drive data-centered, people-focused transformation as the demand for data skills continues to soar.”
Self-paced edX Courses
Develop essential data skills for all teams.
Davidson College Analyzing and Visualizing Data with PowerBI
Step up your analytics game and learn one of the most in-demand job skills in the United States
Arizona State University Data Visualization and Representation
Learn how to visualize data using Tableau.
Rochester Institute of Technology Data Representation and Visualization in Tableau
Use Tableau to explore data and discover insights to innovate data-driven decision-making.
IBM Analyzing Data with Excel
Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data.
IBM Python Basics for Data Science
This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you’ll be ready to create your first Python scripts on your own!
Harvard University Data Science: R Basics
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
IBM Visualizing Data with Python
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.
Harvard University Data Science: Inference and Modeling
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
Harvard University Data Science: Machine Learning
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Harvard University CS50’s Introduction to Artificial Intelligence with Python
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Pragmatic AI Labs DevOps, DataOps, MLOps
Streamline AI Operations: Leverage DevOps, DataOps, and MLOps for End-to-End Machine Learning Solutions.
IBM Machine Learning with Python: A Practical Introduction
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.
IBM Data Engineering Basics for Everyone
Learn about data engineering concepts, ecosystem, and lifecycle. Also learn about the systems, processes, and tools you need as a Data Engineer in order to gather, transform, load, process, query, and manage data so that it can be leveraged by data consumers for operations, and decision-making.
Stanford University Databases: Relational Databases and SQL
This course provides an introduction to relational databases and comprehensive coverage of SQL, the long-accepted standard query language for relational database systems.
GoogleCloud Modernizing Data Lakes and Data Warehouses with Google Cloud
This course is intended for developers who are responsible for: Querying datasets, visualizing query results, and creating reports. Specific job roles include: Data Engineer, Data Analyst, Database Administrators, Big Data Architects.
AWS Cloud Practitioner Essentials
Jumpstart your journey within the AWS Cloud! Whether you are new to the cloud or familiar with cloud technologies this course will introduce you to cloud concepts and core AWS services, security and architecture to advance your cloud knowledge and solve business challenges.
Davidson College Analyzing and Visualizing Data with PowerBI
Step up your analytics game and learn one of the most in-demand job skills in the United States
Arizona State University Data Visualization and Representation
Learn how to visualize data using Tableau.
Rochester Institute of Technology Data Representation and Visualization in Tableau
Use Tableau to explore data and discover insights to innovate data-driven decision-making.
IBM Analyzing Data with Excel
Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data.
IBM Python Basics for Data Science
This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you’ll be ready to create your first Python scripts on your own!
Harvard University Data Science: R Basics
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
IBM Visualizing Data with Python
Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general.
Harvard University Data Science: Inference and Modeling
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
Harvard University Data Science: Machine Learning
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Harvard University CS50’s Introduction to Artificial Intelligence with Python
Learn to use machine learning in Python in this introductory course on artificial intelligence.
Pragmatic AI Labs DevOps, DataOps, MLOps
Streamline AI Operations: Leverage DevOps, DataOps, and MLOps for End-to-End Machine Learning Solutions.
IBM Machine Learning with Python: A Practical Introduction
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.
IBM Data Engineering Basics for Everyone
Learn about data engineering concepts, ecosystem, and lifecycle. Also learn about the systems, processes, and tools you need as a Data Engineer in order to gather, transform, load, process, query, and manage data so that it can be leveraged by data consumers for operations, and decision-making.
Stanford University Databases: Relational Databases and SQL
This course provides an introduction to relational databases and comprehensive coverage of SQL, the long-accepted standard query language for relational database systems.
GoogleCloud Modernizing Data Lakes and Data Warehouses with Google Cloud
This course is intended for developers who are responsible for: Querying datasets, visualizing query results, and creating reports. Specific job roles include: Data Engineer, Data Analyst, Database Administrators, Big Data Architects.
AWS Cloud Practitioner Essentials
Jumpstart your journey within the AWS Cloud! Whether you are new to the cloud or familiar with cloud technologies this course will introduce you to cloud concepts and core AWS services, security and architecture to advance your cloud knowledge and solve business challenges.
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