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Data Analysis and Visualization with Microsoft Power BI

Nanodegree Program

This program will equip any learner who wants to develop in-demand skills in data pre-processing, visualization, and analysis using Power BI as the primary tool.

This program will equip any learner who wants to develop in-demand skills in data pre-processing, visualization, and analysis using Power BI as the primary tool.


3 months

Real-world Projects

Completion Certificate

Last Updated February 22, 2024

Skills you'll learn:
Power BI Report Customization • Data visualization design • Dax • Data transformation
Intermediate spreadsheet use • Power BI Proficiency • Database schemas

Courses In This Program

Course 1 45 minutes

Welcome to Data Analysis and Visualization with Power BI

Welcome to Udacity! We're excited to share more about your nanodegree and start this journey with you! In this course, you will learn more about the pre-requisites, structure of the program, and getting started!

Course 2 4 weeks

Preparing and Modeling Data with Power BI

This course is a crucial step in Power BI for anyone who needs to mash together multiple data sources, clean them, restructure them, and harmonize them into a single and efficient data model to support reporting. We’ll cover Power BI’s built-in Extract-Transform-Load (ETL) tool, Power Query, learn foundational data modeling principles, cover some introductory DAX (Data Analytics Expressions), and touch on troubleshooting and optimization.

Course 3 4 weeks

Creating Visualizations with Power BI

In this course, students will learn how to carry Power BI beyond mere bar charts and transform their reports into data exploration & storytelling tools that companies can use to better understand their data.

Course 4 4 weeks

Advanced Data Analysis with Power BI

Using Power BI, the overarching goal of the course is to help students become effective at the process of retrieving, analyzing, and visualizing data in order to answer questions and draw conclusions. After learning about descriptive and inferential statistics, histograms, linear regression, and the concepts of correlation and probability, the course moves into M, the language of Power Query to build custom formulas as part of the data transformation process. Students then learn the language of DAX to analyze data. The final lesson of the course goes through a number of visualizations in Power BI and explores how those visuals may be used, edited, or enhanced to effectively relay information to an audience.

Taught By The Best

Photo of Joseph Lozada

Joseph Lozada

Senior Business Intelligence Consultant

Joseph works at The Planet Group, engaging with clients in the energy industry across the US. He helps clients collect data, set up data infrastructure, and provide data analysis and forecasting to better understand their operations and finances. He also works as an adjunct instructor of Excel and Microsoft Power BI analytics at the Community College of Rhode Island.

Photo of Sean Chandler

Sean Chandler

Senior Business Intelligence Engineer at Humana

Sean is a Senior Business Intelligence Engineer at Humana, where he oversees an enterprise community of thousands of users & developers. His Power BI work has been featured recently at the Microsoft Business Applications Summit and on Microsoft Mechanics.

Photo of Lenore R Flower

Lenore R Flower

Senior Business Intelligence Specialist

Lenore is a Senior Business Intelligence Specialist with a background in finance and a passion for empowering her colleagues to make data-driven decisions—even if the information they have to work with is a little rough around the edges.

Ratings & Reviews

Average Rating: 4.6 Stars

(88 Reviews)

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Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

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