Data is only useful insofar as it is interpreted. And to get the most out of the available data, you have to go through different stages of data analysis to facilitate decision-making. This is where Power BI comes in, as it is a one-stop cloud tool for businesses and individuals interested in understanding the intricacies of data analysis.
Learning this tool helps you master the preparation, visualization and interpretation of data. We’ve defined six paid courses to learn Power BI on Coursera to help you get started. But first, let’s look at the definition of Power BI.
What is Power BI?
Power BI is a collection of software services and applications that work together to transform data into consistent information and make the result shareable across different platforms. Simply put, Power BI is a Microsoft data analytics tool used to break down raw data into actionable insights.
This tool is interactive, customizable, offers end-to-end data protection and can connect to other cloud-based data sources such as Azure SQL Database, Excel and Dynamics 365. It consists of three elements principals that facilitate operations.
They include Power BI Desktop (Windows desktop app), Power BI Service (software as an online service), and Power BI mobile apps for Windows, iOS, and Android devices. You can use these elements independently and collectively when necessary, provided you have an Internet connection.
Additionally, people use Power BI differently in various fields, such as finance, marketing, healthcare, and HR, to name a few. No matter what niche you specialize in, Power BI is great for data analysis and helps empower decision-making. Specifically, it’s a tool to consider when you’re starting out as a data analyst.
Power BI also has three user licenses for business owners. These are free, pro, and premium per-user licenses. But how you use the tool and the usage plan you choose depends on your role on the team, the topic of the project, and what you intend to achieve. Don’t worry, the following courses will help you understand the tool and its various functions.
This two-hour, project-based course is suitable for people who want to unravel the mysteries of Power BI in a relatively short time and then embark on a career in data science. You will learn the basics of using Power BI desktop software and how to import, transform, and visualize data.
Plus, your learning space is cloud-based, which you can integrate with your browser, so you won’t have to download any course materials. The course is also available in English, with the ability to split your screen for a better learning experience.
In this course, you will gain hands-on experience on how to cleanse and model data in the Power BI desktop application. You will also learn how to report to the Power BI service, explore the interface, and create and use dashboards. The course is suitable for beginners and fully accessible online.
Meanwhile, the ideal length is five weeks with 14 hours of material, but you can reset your time frame to align with your schedule. Moreover, you get a certificate at the end of the course, which you can use to boost your portfolio.
This crash course is one of the highest-rated Power BI course offerings on the Coursera Project Network, with tons of positive reviews. It is suitable for learners without prior knowledge of Power BI. Here you will learn how to get data, create relationships, develop reports, share them with intended recipients, and publish them to the Power BI service.
Additionally, the course duration is two hours and you must complete five tasks in a cloud-based work area before your time runs out. Finally, you can only take this course with a desktop computer, English being the language of instruction.
Creating dashboards is a difficult task in Power BI, but this course will help you easily follow the process. However, you should take other beginner courses before attempting to create dashboards, as this course is intended for intermediate-stage learners.
The course teaches extracting and transforming data, creating dashboards and reports, and visually generating from your reports. In other words, you will learn how to effectively summarize relevant information on a dashboard with visual data. You will also need to complete the course in approximately two hours in a cloud-based learning environment.
The Google Data Analytics course on Coursera helps you build a foundation in data science even without experience or a degree. In this course, you will acquire several analytical skills, using tools such as Power BI and Tableau, and learn how to prepare data to facilitate decision-making.
It takes six months to complete the online course, at least 10 hours per week. However, you can change your deadlines to fit your schedule. And in the end, you get a professional Google certificate that can be used anywhere in the world.
Unlike other Power BI courses, this course is specifically for financial data analysis and accounting. In two hours, you’ll learn how to create effective financial reporting dashboards and connect them for clear visualizations. You will also learn how to create financial statements for businesses and governmental and non-governmental organizations.
The course content is available in English and is suitable for beginners. Also, you don’t need to download the course materials because your learning space is cloud-based in your browser. Finally, you will develop skills in data analysis, report creation and visualization.
Enrich your portfolio with Power BI on Coursera
Although complex, Power BI is quickly becoming the preferred data analysis tool for businesses, enterprise organizations, and data scientists. Learning to use it gives you experience, expertise, and a professional or business edge in your industry.
Most importantly, Coursera offers in-depth Power BI courses, qualified instructors, and a community of learners to lift your spirits in the pursuit of knowledge. So, you can learn basic data analysis skills from a reputable platform. However, if you have personal reservations about the tool, you can consider other Power BI alternatives that also offer great value.