Hands-on training for

Power BI workshop

Whether you’re a beginner or looking to enhance your existing skills, this workshop covers everything from the basics to advanced features of Power BI.

WARNING: Limited To Only 100 People (55 Spots Already Gone)

Key Highlights

What You Can Expect Inside:

embark on your journey to mastering cloud computing

Certificates

1000+ satisfied students
and successful certifications

Power BI Data Analyst Associate credential is valid for one year after candidates pass the PL-300 exam

Course Outcome

Why you need this 3 DAYS workshop?

What Other People Says

With Over 15 years of Experience in supporting Businesses get Clients and save HUGE on wasted marketing dollars, I know what really works!

Niket
Founder, Debug Deploy

Meet the Trainer

Niket is a seasoned Power BI trainer and data analytics consultant with over 8 years of experience in the business intelligence (BI) domain. Known for his deep expertise in data visualization, interactive dashboards, and business analytics, Niket has trained over 3,000 professionals across various industries, helping them transform raw data into actionable insights.

Niket holds certifications in Power BI, Microsoft Azure, and SQL, and has worked extensively with Fortune 500 companies to streamline their data analysis processes.

FAQs

Questions? Look Here...

I have answered all common questions below that you might have about the workshop.

PL-300 exam requires candidates to know how to build and deploy real-world solutions—which is the hard part. Per the exam requirement, you must opt for hands-on training from Microsoft Official Courseware (MOC), Labs and Practice Test. It would be an added advantage if you have already worked at an organization that has adopted Power BI.

The Microsoft Certified: Power BI Data Analyst Associate credential is valid for one year after candidates pass the PL-300 exam.

The Power BI Data Analysts roles and responsibilities include designing, developing, and deploying business analytics dashboards using Microsoft BI technologies such as SQL, Power BI, and so on.

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