Why learn Power BI?
Microsoft Power BI is a popular data analytics and visualization tool used by thousands of companies worldwide. With its powerful data cleaning, transformation, modeling, and visualization capabilities, Power BI allows users to gain insights into their data and make informed decisions. Its user-friendly interface and drag-and-drop functionality make it accessible to both technical and non-technical users.
With the increasing demand for data professionals, learning Power BI can definitely accelerate your career. As you mentioned, there are currently over 80,000 job openings on LinkedIn that require Power BI skills. Moreover, since most business analysts and data analysts use Power BI regularly, having this skill set can make you a valuable asset to any organization. By becoming proficient in Power BI Training in Delhi, you can gain a competitive edge in the job market and advance your career as a data professional.
Getting certified as a Microsoft Power BI Data Analyst is a great way to prove your skills to employers. The certification exam tests your knowledge and ability to work with Power BI features such as DAX, the M language, and the Power Query editor. By passing the exam and becoming certified, you demonstrate to potential employers that you have a strong foundation in Power BI and can effectively use its features to analyse and visualize data. Additionally, having a certification can help you stand out from other candidates and increase your chances of landing a job or advancing in your career as a data professional.
If you want to stand out in job interviews, you should also build a project portfolio. A portfolio will show that you can do complex analysis in the real world.
In this post, we’ll go over 5 steps to gain real-world Power BI experience, get certified, and build a portfolio. It will take work and effort, but if you follow these steps, you’ll be able to start a new data career.
How to learn Power BI and get certified
Power BI has a user-friendly graphical interface, there’s a lot of complexity beneath the surface. Watching videos or reading tutorials can give you a basic understanding of Power BI, but to truly master it and become job-ready, you’ll need hands-on experience and skills. This includes working with real-world data sets, building complex data models, and creating interactive visualizations. It’s important to practice and experiment with Power BI to gain a deeper understanding of its features and capabilities. By doing so, you’ll be better equipped to pass the certification exam and succeed as a data professional.
The best way to build hands-on Power BI skills is to make projects. Projects glass real-world data analysis, and will help you gain knowledge doing everything from loading data to housework data to visualizing it.
We’ll show you how to study hands-on Power BI skills by structure projects. With hands-on skills, if you want to learn more quickly, we’ve also collaborated with Microsoft on a series of Power BI Online Training in India that will teach you everything you need to pass the PL-300 exam.
Step 1: Get familiar with the interface
Step 2: Build some visualizations!
Step 3: Model and clean data
Step 4: Publish your reports
Step 5: Build a project portfolio
Trainer Profile of Power BI Online Training in India:-
Our Trainers provide complete choice to the students, to discover the subject and learn based on real-time examples. Our trainers help the candidates in finishing their projects and even get ready for interview questions and answers. Candidates are free to ask any question at any time. Power BI Online Training in India,
- More than 8+ years of experience.
- Trained more than 1000+ students in a year.
- Well connected with Hiring HRs in multinational companies.
- Expert-level subject knowledge and fully up-to-date on real-world industry applications.
- Trainers have experience on multiple real-time projects in their Industries.
- Our Trainers are working in multinational companies such as Infosys, Dell, HCL Technologies, Birlasoft, Accenture, Microsoft, HP, Amazon, Philips Technologies, etc
