Are you looking for the Best Power BI Courses on Coursera? If yes, then this article is for you. In this article, I will share the Best Power BI Courses on Coursera.
So, give a few minutes to this article and find out the Best Power BI Courses on Coursera for you.
Now, without further ado, let’s get started-
Best Power BI Courses on Coursera
- 1. From Excel to Power BI
- 2. Data Analysis and Visualization with Power BI
- 3. Data Modeling in Power BI
- 4. Data Storytelling with Power BI
- 5. Data-Driven Decisions with Power BI
- 6. Excel Power Tools for Data Analysis
- 7. Microsoft Power Platform Fundamentals
- 8. Harnessing the Power of Data with Power BI
- 9. Extract, Transform, and Load Data in Power BI
- 10. Excel Skills for Data Analytics and Visualization Specialization
- Best Power BI Courses on Coursera
- Conclusion
1. From Excel to Power BI
Rating- 4.4/5
Best For- Beginner
Time to Complete-
Are you someone who relies on Excel to manage and understand data? Imagine being able to take your data analysis skills to the next level with Power BI! This course will teach you just that.
Learn how to import data, navigate through Power BI, create visualizations like charts and graphs, and put everything together into useful dashboards. You don’t need any prior experience with Power BI, just basic knowledge of Excel.
The course lasts about 3 hours and is divided into five parts, each with practical exercises. It’s designed for anyone who wants to make better use of data in their work. If you’re ready to supercharge your Excel skills, this course is for you
Who Should Enroll?
- Those who have a basic understanding of data analysis in Excel.
Interested in Enroll?
If yes, then check it out here– From Excel to Power BI
2. Data Analysis and Visualization with Power BI
Rating- 4.7/5
Best For- Beginner
Time to Complete- 1-3 months
This course is a part of the Microsoft Power BI Analyst Professional Certificate, which is like a group of classes to help you get really good at analyzing data with Microsoft Power BI.
In these six modules, you’ll learn how to make awesome reports and dashboards in Power BI that look great and tell a story with your data. You’ll find out how to use different kinds of visuals, add them to your reports, and make them look nice.
You’ll also learn how to move around in your reports so they’re easy to understand, and how to dig deep into your data to find out interesting stuff. By the end, you’ll know how to make your reports easy to use, and how to analyze data using visuals. Plus, if you pass the PL-300 exam, you’ll get a special certification from Microsoft.
Who Should Enroll?
- Those who are familiar with using computers.
Interested in Enroll?
If yes, then check it out here– Data Analysis and Visualization with Power BI
3. Data Modeling in Power BI
Rating- 4.2/5
Best For- Beginners
Time to Complete- 1-4 weeks
This course is part of the Microsoft Power BI Analyst Professional Certificate, which is like a series of classes to help you start a career in data analysis using Microsoft Power BI. In these four modules, 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. You’ll discover how to configure the model to support Power BI features for insightful visualizations, analysis, and optimization.
By the end of the course, you’ll know how to create and maintain relationships in a data model, form a model using a Star Schema, write calculations in DAX to create elements and analysis, create calculated columns and measures in a model, perform useful time intelligence calculations in DAX, and optimize performance in a Power BI model. Plus, if you pass the PL-300 exam, you’ll get a special certification from Microsoft
Who Should Enroll?
- Those who are familiar with using computers.
Interested in Enroll?
If yes, then check it out here– Data Modeling in Power BI
4. Data Storytelling with Power BI
Rating- 4.3/5
Best For- Intermediate
Time to Complete- 1-3 months
In this course, you’ll learn how to use Power BI to tell stories with data in a clear and compelling way. You’ll discover how to clean and organize data using Power BI tools, and then turn it into easy-to-understand charts and graphs.
By the end, you’ll know how to create impressive reports and dashboards that bring your data to life. This course is for anyone who wants to improve their data analysis skills, whether you’re new to the field or already working in it. All you need is a basic understanding of Excel or similar spreadsheet programs.
Who Should Enroll?
- Those who have a basic understanding of Excel or similar spreadsheet programs.
Interested in Enroll?
If yes, then check it out here– Data Storytelling with Power BI
5. Data-Driven Decisions with Power BI
Rating- 4.3/5
Best For- Beginner
Time to Complete- 1-3 months
Whether you’re new to Power BI or just getting started, this course will guide you through the basics and beyond. In five modules, you’ll learn all about the Power BI desktop application and the Power BI service.
You’ll explore the interface, manage pages, and grasp the basics of creating visualizations. Additionally, you’ll download a dataset to practice with, enabling you to learn how to import, connect, clean, transform, and model your data directly in Power BI. You will delve into reports, and workspaces, and practice viewing, creating, and publishing reports to the Power BI service. By the course’s end, you’ll be proficient in creating and using dashboards to showcase your data.
Who Should Enroll?
- Those who have a basic understanding of Microsoft 365, Excel datasets, or other data sources.
Interested in Enroll?
If yes, then check it out here– Data-Driven Decisions with Power BI
6. Excel Power Tools for Data Analysis
Rating- 4.9/5
Best for- Intermediate
Time to Complete- 1-3 months
In this course, you’ll learn how to use three powerful tools—Power Query, Power Pivot, and Power BI—to work with data in Excel. You’ll discover how to make your data easier to understand and use.
You’ll be taught how to clean up messy data, do advanced calculations, and create cool reports and charts. This course is great for anyone who wants to analyze data better. Just remember, you’ll need a Windows computer with Excel 2016 or newer, or Office 365 to follow along.
Who Should Enroll?
- Those who have some background in Excel.
Interested in Enroll?
If yes, then check it out here– Excel Power Tools for Data Analysis
7. Microsoft Power Platform Fundamentals
Rating- 4.3/5
Best for- Beginner
Time to Complete- 1-3 months
In six modules, you’ll learn about Power Platform’s business value and capabilities, including creating Power Apps, connecting data with Microsoft Dataverse, building Power BI Dashboards, automating processes with Power Automate, and creating chatbots with Power Virtual Agents.
By the end, you’ll be able to describe Power Platform’s business value, identify its core components, demonstrate Power BI and Power Apps capabilities, and understand the value of Power Virtual Agents. This course prepares you for the Microsoft Certification: Power Platform Fundamentals – PL900 Exam, boosting your career by enhancing productivity and leveraging Microsoft skills.
Who Should Enroll?
- Those who have a basic familiarity with computer technology, data analytics, cloud computing, and the internet.
Interested in Enroll?
If yes, then check it out here– Microsoft Power Platform Fundamentals
8. Harnessing the Power of Data with Power BI
Rating- 4.5/5
Best for- Beginner
Time to Complete- 16 hours
This course is part of the Microsoft Power BI Analyst Professional Certificate, designed to help you become a skilled data analyst. In three modules, you’ll cover the basics of data analysis using Microsoft Power BI.
You’ll learn about the role of a data analyst and how data analysis works in businesses. By the end of the course, you’ll be able to understand how data is collected, why it’s important for making decisions in businesses, and the different steps involved in analyzing data.
You’ll also learn about the skills and tools used by data analysts, as well as the main parts of Power BI. Plus, this course will prepare you for the Microsoft PL-300 exam, which can earn you the Microsoft Power BI Data Analyst certification.
Who Should Enroll?
- Those who are familiar with using computers.
Interested in Enroll?
If yes, then check it out here– Harnessing the Power of Data with Power BI
9. Extract, Transform, and Load Data in Power BI
Rating- 4.5/5
Best For- Beginner
Time to Complete- 20 hours
This course is part of the Microsoft Power BI Analyst Professional Certificate, which helps you learn about data analysis using Microsoft Power BI. In four modules, you’ll explore how to get and clean up data.
Throughout the course, you’ll learn to collect data from different places and make it neat in Power BI. You’ll use Power Query to tidy up the data and make sure it’s good quality. You’ll also check the data to make sure it’s correct.
By the end of the course, you’ll know how to find and clean up data in Power BI. This course also helps you get ready for the Microsoft PL-300 exam, which gives you the Power BI Data Analyst certificate.
Who Should Enroll?
- Those who have an affinity for technology and an interest in data analytics.
Interested in Enroll?
If yes, then check it out here– Extract, Transform, and Load Data in Power BI
10. Excel Skills for Data Analytics and Visualization Specialization
Rating- 4.8/5
Best For- Intermediate
Time to Complete- 1 month
This three-course series focuses on enhancing your analytical and visualization skills using advanced Excel functions and beginner Power BI. By completing this specialization, you’ll learn to bring data to life with advanced Excel functions, creative visualizations, and powerful automation features.
You’ll master various charts, create interactive dashboards, and explore advanced Excel features like PowerPivot, Get and Transform, and DAX. In the Applied Learning Project, you’ll work with real-world datasets to clean, organize, and analyze data, creating insightful visualizations and reports.
Who Should Enroll?
- Those who have familiarity with the Excel user interface, moving around an Excel workbook, and creating basic formulas.
Interested in Enroll?
If yes, then check it out here– Excel Skills for Data Analytics and Visualization Specialization
Best Power BI Courses on Coursera
Course Title | Pros | Cons |
---|---|---|
1. From Excel to Power BI | Easy switch from Excel to Power BI. | Might be too basic if you know Power BI already. |
2. Data Analysis and Visualization with Power BI | Teaches lot about using data in Power BI. | Teaches a lot about using data in Power BI. |
3. Data Modeling in Power BI | Learn how to organize data well in Power BI. | Might be tricky if you’re new to Power BI. |
4. Data Storytelling with Power BI | Learn to share stories using data in Power BI. | Need to know a bit about data stuff already. |
5. Data-Driven Decisions with Power BI | Shows how to make good decisions using Power BI. | Assumes you’ve used Power BI before. |
6. Excel Power Tools for Data Analysis | Uses Excel, which you probably already know. | Might not cover everything you can do in Power BI. |
7. Microsoft Power Platform Fundamentals | Introduction to Microsoft Power Platform. | Might not go into enough detail about Power BI. |
8. Harnessing the Power of Data with Power BI | Helps you use data really well in Power BI. | You need to know a bit about Power BI already. |
9. Extract, Transform, and Load Data in Power BI | Learn how to clean up data in Power BI. | Might be a bit tricky if you’re new to this stuff. |
10. Excel Skills for Data Analytics and Visualization Specialization | Teaches you a lot about using Excel for data stuff. | Teaches you lot about using Excel for data stuff. |
Conclusion
In this article, I tried to cover all the Best Power BI Courses on Coursera. If you have any doubts or questions, feel free to ask me in the comment section.
All the Best!
Enjoy Learning!
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Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.