Microsoft Power BI (PL-300) Certification Course in Greece is designed for professionals who want to build strong data analytics and business intelligence capabilities using Microsoft Power BI. This course focuses on key skills such as data preparation and transformation with Power Query, data modeling, DAX calculations, and creating interactive dashboards that help organizations convert complex datasets into meaningful, actionable insights. It is ideal for data analysts, IT professionals, finance specialists, and business leaders across Greece who aim to leverage data to support better decision-making, improve business performance, and drive digital transformation initiatives.
Spoclearn’s PL-300 Training in Greece delivers a structured, instructor-led learning experience supported by hands-on labs and practical, Greece-relevant business scenarios. Participants gain real-world experience in connecting multiple data sources, transforming datasets, building efficient data models, and designing visually compelling reports and dashboards. For individuals, this course enhances career opportunities in Greece’s evolving data analytics and business intelligence landscape. For organizations, it empowers teams to improve reporting accuracy, increase data transparency, and enable faster, insight-driven decision-making using advanced Power BI capabilities.
10:00 - 18:00 EET(8 Hrs / Day)
Live Online Classroom
Not Included
Get Certified, Unlock Higher Income Potential
In Greece, Certified Microsoft Power BI (PL-300) professionals typically earn salaries about 20% higher than non-certified counterparts, driven by rising demand for skilled data and BI specialists.
Join a Fast-Growing Network Today!
In Greece, approximately 2,800+ professionals hold the Microsoft Power BI (PL-300) certification, highlighting rising adoption of Power BI and increasing demand for certified data analytics professionals across the country.
Strengthen Your Career with New Credibility
In Greece, the Microsoft Power BI Data Analyst (PL-300) certification is expected to support 4,000+ new analytics and BI roles by 2030, driven by growing demand for data-driven decision-making nationwide.

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3 Days
10:00 to 18:00
EET (8 Hrs / Day)
3 Days
10:00 to 18:00
EET (8 Hrs / Day)
3 Days
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EET (8 Hrs / Day)
3 Days
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EET (8 Hrs / Day)
3 Days
10:00 to 18:00
EET (8 Hrs / Day)
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