Data Analysis and Visualization with Power BI (Coursera)

Offered by Microsoft,
Data Analysis and Visualization with 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. In this course, you will learn report design and formatting in Power BI, which offers extraordinary visuals for building reports and dashboards.

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

Additionally, you will learn how to use report navigation to tell a compelling, data-driven story in Power BI. You will explore how to get a statistical summary for your data and how to create and export reports in Power BI. You will also perform advanced analytics in Power BI to get deeper and more meaningful data insights.
After completing this course, you'll be able to:

  • Recognize the different types of visualizations in Power BI
  • Add visualizations to reports and dashboards
  • Apply formatting choices to visuals
  • Add useful navigation techniques to the Power BI report
  • Design accessible reports and dashboards
  • Use visualizations to perform data analysis

This course is part of the Microsoft Power BI Data Analyst Professional Certificate.

What you'll learn

  • How to add visualizations to reports and dashboards.
  • How to design accessible reports and dashboards.
  • How to use visualizations to perform data analysis.

Syllabus

Creating Reports
In this module, you'll be introduced to using visualization and reports in Microsoft Power BI to present data to stakeholders.

Navigation and Accessibility
In this module, you will discover how to improve accessibility and user experience in reports.

Bringing Data to the User
In this module, you'll be introduced to dashboards and how they differ from reports, as well as publishing and exporting reports.

Identifying Patterns and Trends
In this module, you'll be introduced to data analysis. You'll explore how to use visualizations and AI in Microsoft Power BI to perform an analysis of data.

Guided Project: Data Analysis and Visualization with Microsoft Power BI
In this module, you will engage in a hands-on learning experience. You will have the opportunity to fine tune your skills and build on what you have already learned in this course.

Final project and assessment: Data Analysis and Visualization with Power BI
In this module, you will be assessed on the key skills covered in the Course. This module provides a summary of 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

Matrix Methods (Coursera) Coursera
University of Minnesota

Matrix Methods (Coursera)

Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction.

Aug 17th 2026
5-12 Weeks
Research Design: Inquiry and Discovery (Coursera) Coursera
University of North Texas

Research Design: Inquiry and Discovery (Coursera)

The main purpose of this course is to focus on good questions and how to answer them. This is essential to making considered decisions as a leader in any organization or in your life overall. Topics will include the basis of human curiosity, development of questions, connections between questions and approaches to information gathering design, variable measurement, sampling, the differences between experimental and non-experimental designs, data analysis, reporting and the ethics of inquiry projects.

Aug 17th 2026
4 Weeks
Infonomics I: Business Information Economics and Data Monetization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics I: Business Information Economics and Data Monetization (Coursera)

Thriving in the Information Age compels organizations to deploy information as an actual business asset, not as an IT asset or merely as a business byproduct. This demands creativity in conceiving and implementing new ways to generate economic benefits from the wide array of information assets available to an organization. Unfortunately, information too frequently is underappreciated and therefore underutilized.

Aug 17th 2026
4 Weeks
Advanced Reproducibility in Cancer Informatics (Coursera) Coursera
Johns Hopkins University

Advanced Reproducibility in Cancer Informatics (Coursera)

This course introduces tools that help enhance reproducibility and replicability in the context of cancer informatics. It uses hands-on exercises to demonstrate in practical terms how to get acquainted with these tools but is by no means meant to be a comprehensive dive into these tools. The course introduces tools and their concepts such as git and GitHub, code review, Docker, and GitHub actions.

Aug 17th 2026
5-12 Weeks
Business Statistics and Analysis Capstone (Coursera) Coursera
Rice University

Business Statistics and Analysis Capstone (Coursera)

The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst. Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand.

Aug 17th 2026
4 Weeks
Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera) Coursera
The Chinese University of Hong Kong

Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera)

在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中,结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析,弥补了传统回归分析和因子分析的不足,可以分析多因多果的联系、潜变量的关系,

Aug 17th 2026
5-12 Weeks
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s).

Aug 17th 2026
4 Weeks
Advanced Data Analysis and Collaboration in Qlik Sense (Coursera) Coursera
Coursera Instructor Network

Advanced Data Analysis and Collaboration in Qlik Sense (Coursera)

This course is an advanced level course designed for learners who want to use Qlik Sense to perform sophisticated data analytics, build dashboards, and communicate full reports and stories from their data. These advanced concepts include more than just visualization features such as dynamic filtering and conditional formatting, but more so data functionality such as advanced expressions, drill-downs, leads, lags, and more. This is important as these skills are directly required when creating sophisticated business analyses and dashboards.

Aug 17th 2026
1 Week