Microsoft Power BI has become an integral part of modern business, thanks to its effectiveness in enabling business owners and data analysts to clean, alter, model, and visualize important data. Its popularity has led to a constant increase in demand for experts with deep knowledge of Power BI.

So, if you’re looking to venture into the field of data analysis, start by learning Power BI. This training will give you skills that’ll set you apart and accelerate your career as a data professional. But is learning Power BI worth it, and how easy is Power BI to learn?

These are genuine concerns that are in the mind of every data professional today, especially those who want to advance their career. If you want to learn Power BI but you don’t know how long it’ll take, it’s important to understand that this will vary, but Power BI training courses will help!

What Is Power BI?

Power BI is an integrated, scalable platform created by Microsoft to help data professionals visualize their data. Its main focus is business intelligence (BI). As a data analyst, you can easily visualize whatever data you want, and infuse the visuals seamlessly into your company’s applications.

This data tool allows you to close the gap between business data and decision-making by enabling you to easily connect, shape, and visualize your data. This makes it easy for you to create memorable reports that have been customized using your KPIs and the overall brand.

How Long Does Power BI Training Take?

While Power BI features a simple graphical interface, it has some complex aspects underneath the surface. You need to master these facets because they’re part of the PL-300 exam. Although you can study most parts of this data tool by watching video tutorials, you’ll need hands-on skills and deeper knowledge of Power BI to pass the certification exam.

Therefore, part of your training should be dedicated to creating projects and putting what you learn to practice. Trial projects mirror real-life data analysis, and can give you the necessary hands-on experience to clean, alter, organize, and visualize data. You’ll need this experience to take the PL-300 exam successfully.

The whole training process comprises several key steps that you must take, including familiarizing yourself with the Power BI interface, creating some visualizations, modeling and cleaning data, publishing your reports, building a project portfolio, and getting certified. Because each of these steps requires meticulous internalization, the whole training process may take a bit of time. 

If you want to be a certified Microsoft Power BI data analyst, ONLC Training Centers have dedicated instructors to give you the skills you need.

Why Learn Power BI?

As one of the leading data tools in the world, Power BI has been widely adopted by small, medium, and large enterprises from around the globe. Therefore, every data professional must be familiar with Power BI if they want to succeed in their career. More than 50,000 companies around the world are using this data tool to clean, alter, shape, and visualize data.

When you undergo any of the available Power BI training courses, you’re assured of the opportunity to find a job as a data analyst or any other data professional almost immediately. At the moment, you’ll find more than 80,000 data analysis job openings on any online job platform you check. So, with Power BI skills, you can easily improve your chances of getting hired and advancing your career as a data professional.

Even as you train, make sure the main essence of acquiring Power BI skills is to become certified by Microsoft. Most employers are continuously looking for highly qualified and certified Microsoft Power BI analysts. This certification proves to potential employers that you can work with advanced Power BI features like the M language, Power Query Editor, and DAX.

To get this certification, you have to take the PL-300 exam, which is the advanced version of the DA-100 exam. This exam will test your Power BI skills and experience using the most complex features and functions of the data tool.

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