Coursera

Data Modeling in Power BI (Coursera)

Offered by Microsoft,
Data Modeling in Power BI (Coursera)

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

In this course, you'll learn how to use Power BI to create and maintain relationships in a data model and form a model using multiple Schemas. You'll explore the basics of DAX, Power BI's expression language, and add calculations to your model to create elements and analysis in Power BI. You'll discover how to configure the model to support Power BI features for insightful visualizations, analysis, and optimization.
After completing this course you'll be able to:

  • Create and maintain relationships in a data model.
  • Form a model using a Star Schema
  • Write calculations DAX to create elements and analysis in Power BI
  • Create calculated columns and measures in a model
  • Perform useful time intelligence calculations in DAX
  • Optimize performance in a Power BI model

This is also a great way to prepare for the Microsoft PL-300 exam. By passing the PL-300 exam, you’ll earn the Microsoft Power BI Data Analyst certification.
This course is part of the Microsoft Power BI Data Analyst Professional Certificate.

What you'll learn

  • How to form a model using a Star Schema.
  • How to write calculations DAX to create elements and analysis in Power BI.
  • How to optimize performance in a Power BI model.

Syllabus

Concepts for data modeling
Module 1
This module introduces data modeling and the schemas used to create them.

Using Data Analysis Expressions (DAX) in Power BI
Module 2
This module introduces the learner to the DAX (Data Analysis Expressions) language. The module explores the syntax of DAX using multiple business use cases. The module also integrates DAX with previous lessons on database tables and their use and introduces the concept of time intelligence.

Optimize a model for performance in Power BI
Module 3
This module explores the optimization process and examines the tools and methods to achieve this in Power BI, including using performance analyzer and DirectQuery features. This module also dives deeper into DAX and its use in the real world.

Final project and assessment: Modeling data in Power BI
Module 4
In this module, you will be assessed on the key skills covered in the course. This module summarizes the course and reflects on the primary learning objectives. The module also contains the project for the course, which encapsulates the learning into a practical whole.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Population Health: Predictive Analytics (Coursera) Coursera
Leiden University

Population Health: Predictive Analytics (Coursera)

Statistics & Data Analysis Data Science

Predictive analytics has a longstanding tradition in medicine. Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments. In order to effectively use and develop these models, we must understand them better. In this course, you will learn how to make accurate prediction tools, and how to assess their validity. First, we will discuss the role of predictive analytics for prevention, diagnosis, and effectiveness. Then, we look at key concepts such as study design, sample size and overfitting.

Sep 28th 2026
4 Weeks
Health Data Analysis Predictive Analytics
Details
Big Data Analysis Deep Dive (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analysis Deep Dive (Coursera)

CS: Information & Technology

The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards. Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!

Sep 28th 2026
5-12 Weeks
Python SQL Big Data
Details
Python and Statistics for Financial Analysis (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Python and Statistics for Financial Analysis (Coursera)

Economics & Finance Business

Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Oct 5th 2026
4 Weeks
Python Statistics Inference
Details
Use Tableau for your Data Science Workflow (Coursera) Coursera
Edureka

Use Tableau for your Data Science Workflow (Coursera)

Statistics & Data Analysis Data Science

Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement.

Oct 5th 2026
1 Week
Data Science Business Intelligence Data Visualization
Details
Construção de Relacionamentos em Vendas Orientada a Dados (Coursera) Coursera
FIA Business School

Construção de Relacionamentos em Vendas Orientada a Dados (Coursera)

Statistics & Data Analysis Business

Nossas boas-vindas ao Curso Construção de Relacionamento em Vendas Orientada a Dados. Neste curso, você aprenderá métodos sobre data analytics para o ambiente dos profissionais de vendas. Ao final deste curso, você será capaz de avaliar relacionamentos entre o desempenho de vendas e os gastos relacionados; agrupar por semelhança itens, produtos ou serviços e, por fim, realizar recomendações de produtos para clientes sob características preestabelecidas.

Sep 28th 2026
4 Weeks
Sales Data Analysis Regression Modeling
Details
Bioinformatic Methods II (Coursera) Coursera
University of Toronto

Bioinformatic Methods II (Coursera)

Sci: Biology & Life Sciences Health & Society

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Sep 28th 2026
5-12 Weeks
Biology Bioinformatics Molecular Biology
Details
Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera) Coursera
Rice University

Business Applications of Hypothesis Testing and Confidence Interval Estimation (Coursera)

Statistics & Data Analysis Data Science

Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. These are done by easy to understand applications.

Oct 5th 2026
4 Weeks
Hypothesis Data Analysis Microsoft Excel
Details
Fundamentos de estadística aplicada (Coursera) Coursera
Universidad de los Andes

Fundamentos de estadística aplicada (Coursera)

Statistics & Data Analysis CS: Programming

El curso está orientado a profesionales de diferentes campos, que estén interesados en adquirir conceptos fundamentales de estadística aplicada. El contenido del curso será particularmente útil para profesionales que estén interesados en adelantar estudios de postgrado en ingeniería, administración o economía, entre otras profesiones, y que requieran de una adecuada fundamentación en estadística.

Sep 28th 2026
4 Weeks
Statistics Data Analysis Linear Regression
Details
Python Data Visualization (Coursera) Coursera
Rice University

Python Data Visualization (Coursera)

CS: Software Engineering CS: Programming

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs.

Oct 2nd 2026
4 Weeks
Programming Python Scripting
Details
Introduction to Accounting Data Analytics and Visualization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Introduction to Accounting Data Analytics and Visualization (Coursera)

Statistics & Data Analysis Data Science

Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R.

Oct 5th 2026
5-12 Weeks
Excel Accounting Data Analysis
Details