Free online
Learn Data Quality online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Harvard University
Build practical deep learning skills for Python-savvy professionals. Learn how neural networks are structured, trained, and evaluated—and how choices like architecture, regularization, and learning rate affect performance. Explore transfer and self-supervised learning (autoencoders). Build models f…
Microsoft
Learn how to implement and manage data quality constraints in Azure Databricks using Unity Catalog, including validation checks, schema enforcement, and pipeline expectations.
Amazon Web Services
In this course, you develop essential skills that will help you think like a data analyst. You explore key data types and structures, and apply this knowledge directly to discussions on SQL and NoSQL databases. The course also places significant emphasis on the extract, transform, and load (ETL) pr…
Microsoft
Master the essential skills to build robust, scalable data engineering solutions with Azure Databricks and Unity Catalog. Learn to design effective data models, ingest data from diverse sources, transform raw data into analytics-ready formats, and ensure data quality across your lakehouse architect…
The Linux Foundation
Learn how PyTorch, a deep learning framework, can be used to automate and optimize processes through the development and deployment of state-of-the-art AI applications. The course will also help you understand the importance of data quality, how to choose the right model, and the challenges in depl…
Microsoft
This training module guides you in how to build a complete master data management and data governance stack end to end with Microsoft Purview and CluedIn. It includes developing golden records, deduplication, data lineage, and data quality strategies.
Delft University of Technology
A one-stop shop to get started on the key considerations about data for AI! Learn how crowdsourcing offers a viable means to leverage human intelligence at scale for data creation, enrichment and interpretation, demonstrating a great potential to improve both the performance of AI systems and their…
University of Michigan
By the end of this first course in the Total Data Quality specialization, learners will be able to: 1. Identify the essential differences between designed and gathered data and summarize the key dimensions of the Total Data Quality (TDQ) Framework; 2. Define the three measurement dimensions of the…
RWTH Aachen University
"Basics of Data Science" gives a comprehensible overview of many fundamental concepts and tools of data science, including data quality and data preprocessing, supervised and unsupervised learning techniques including their evaluation, frequent itemsets and association rules, sequence mining, proce…
HP
Understand what AI really is — no hype, no fear, no prerequisites. Course 1 of the HP AI Foundations, Practice, and Leadership programme covers AI history, data fundamentals, machine learning types, and explainability. Designed for learners at any stage. Get a free verified certificate with referra…
Google Cloud
This course covers the fundamentals of data governance, including its frameworks. You will gain hands-on experience using the Dataplex Universal Catalog to profile data, manage data quality, and implement automated data lineage for BigQuery data sources. Learn to effectively manage, secure, and und…
Microsoft
Learn how to use Microsoft Copilot to support data analytics responsibly and effectively. This course helps participants understand how AI augments analytical workflows, improves data structure and prompting, interpret AI-generated insights, and apply governance, privacy, and Responsible AI princip…
University of Michigan
By the end of this second course in the Total Data Quality Specialization, learners will be able to: 1. Learn various metrics for evaluating Total Data Quality (TDQ) at each stage of the TDQ framework. 2. Create a quality concept map that tracks relevant aspects of TDQ from a particular application…
University of Michigan
By the end of this third course in the Total Data Quality Specialization, learners will be able to: 1. Learn about design tools and techniques for maximizing TDQ across all stages of the TDQ framework during a data collection or a data gathering process. 2. Identify aspects of the data generating o…
Alison
SAP Fiori is a modernized software suite that delivers a role-based user experience (UX) that cuts across several industries and devices. It offers cross-device technology that allows users to access the optimized web and mobile applications with improved data quality and peerless productivity. It…
Rochester Institute of Technology
Learn best practices in data analytics, informatics, and visualization to gain literacy in data-driven, strategic imperatives that affect all facets of health care.
Microsoft
Master the conceptual logic behind data engineering. Learn how business problems translate into requirements, workflows, and structured schemas to protect decisions.
Microsoft
Navigate the data analytics career landscape with a clearer sense of direction. This course helps you explore common data analyst role types, assess your technical and professional strengths, identify skill gaps, and build a practical roadmap toward a target role that fits both your interests and r…
Google Cloud
This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to assess data quality using Dataplex.
Microsoft
Discover what Data Engineers actually do, what skills the role demands in 2026, and how to build your personal entry path-no coding required. Leave with a three-phase Career Readiness Plan grounded in Microsoft Fabric
