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Learn Data Modeling online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Microsoft
Learn dimensional schema types, fact and dimension table design, and slowly changing dimension patterns for analytics workloads in Microsoft Fabric.
Microsoft
Discover how to utilize AI Builder category classification to tag text with category labels, like emails.
Microsoft
Semantic models organize complex data into an intuitive structure, enhancing data visualization and enabling efficient, insightful reporting for better decision-making.
Microsoft
Adding DAX calculations to Power BI semantic models allows you to define custom logic within your data model, to enable deeper analysis and data-driven business decisions.
Microsoft
In this module, you build a Power BI data model for the first time. Then use your first data model to explore data, create relationships, add data visualizations, group and bin data, and create a date table.
Microsoft
In this module, you add measures to a Power BI data model for the first time. You use hierarchies, matrix visuals, and DAX in your data model to explore the data further.
Microsoft
Visual calculations in Power BI simplify complex formulas by operating directly on visual data. Learn to create visual calculations that enhance analysis without impacting model performance.
Columbia University
Learn fundamental tools and techniques for using data towards making business decisions in the face of uncertainty.
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…
Microsoft
Explore how to work smarter with Copilot in Microsoft Fabric. Learn how to integrate, transform, store data, and create insightful reports using Copilot in Microsoft Fabric.
Microsoft
Design dimensional models and apply transformations using dataflows, Spark notebooks, and T-SQL to produce consistent, analysis-ready data in Microsoft Fabric.
Microsoft
Prepare your semantic layer for AI by adding metadata and linguistic context to gold-layer data stores and semantic models, then generate ontologies that AI agents use to answer business questions.
IBM
Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory d…
Google Cloud
This course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookM…
Microsoft
Create semantic models that serve reliable, governed analytics at scale — from initial DAX logic through performance optimization, data access control, and automated lifecycle management.
Microsoft
Data modeling configures and shapes your prepared data to design a semantic model with the necessary relationships and calculations using Data Analysis Expressions (DAX). This process ensures accurate analysis and sets you up to create clear, impactful Power BI reports.
Microsoft
Enable deeper insights in Power BI by using Data Analysis Expressions (DAX) to add calculations that support dynamic analysis and advanced reporting in your semantic models.
The University of Michigan
This second course in Django for Everybody explores data models in Django and how it communicates with a database. This course also explores basic Structured Query Language (SQL) and database modeling and how they work in the Django model.
University of California, Berkeley
Students are introduced to computer science and data science through Python programming. They learn abstraction, iteration, and higher-order functions to write efficient, readable code and build the foundation for computational problem-solving.
The University of Michigan
This first course in PostgreSQL for Everybody explores the use of SQL in the PostgreSQL environment and introduces SQL techniques and commands. This course also explores data modeling and database relationships, while introducing hands-on assignments to work within PostgreSQL.
