Course Brief

The Data Analyst certification using Microsoft Power BI is a pivotal credential in the era of Business Intelligence. This certification empowers participants to transform complex raw data into interactive reports and visual dashboards that streamline decision-making. The course covers essential skills including data ingestion, transformation via Power Query, advanced modeling using DAX, and the creation of professional visualizations. It equips professionals with the tools to analyze organizational performance and predict future trends with high accuracy and clarity.

About course

The Data Analyst using Power BI certification is an internationally accredited professional credential. it aims to qualify participants to acquire advanced practical skills in data analysis, building interactive reports, and designing dashboards using Power BI—one of the world's most powerful and globally recognized Business Intelligence (BI) tools.

The certification focuses on transforming raw data into valuable analytical insights that support strategic decision-making through data modeling, cleaning, transformation, in-depth analysis, and professional visualization that meets the administrative and strategic goals of various organizations. This certification enhances trainees' efficiency in handling data and promotes a Data-Driven Decision Making culture across all sectors.

What is the Data Analyst using Power BI Course?

The Data Analyst using Power BI course is a comprehensive and accredited qualifying training program on the Be Mentor platform (bementor.edu.sa). It focuses on practical training from foundational to advanced levels. The course covers the entire data lifecycle: extraction, cleaning, modeling, establishing relationships, calculating measures and indicators (DAX), designing interactive visualizations, and building professional, management-ready dashboards. The course is highly practical, featuring real-world applications on actual data sets.

Objectives of the Data Analyst using Power BI Course

  1. Insight Generation: Enabling participants to transform raw data into actionable analytical insights that support strategic decisions.
  2. Technical Mastery: Mastering Power BI tools for data modeling, cleaning, transformation, and advanced analysis.
  3. Visualization: Building attractive and professional interactive reports and dashboards.
  4. Value Extraction: Enhancing the ability to extract real business value from data across various sectors.
  5. Exam Readiness: Preparing trainees to pass the professional certification exam with high efficiency.
  6. Professional Efficiency: Raising professional standards and supporting a data-driven culture within organizations.

How to Earn the Data Analyst using Power BI Certification?

To obtain the certification through the Be Mentor platform, follow these steps:

  • Enrollment: Join the accredited qualifying course available on Be Mentor.
  • Completion: Complete the full training program (including theoretical lectures and practical applications).
  • Examination: Successfully pass the professional certification exam.

Requirements & Prerequisites

  • Basic computer literacy and familiarity with Microsoft Excel (prior basic data knowledge is preferred).
  • No advanced prior experience in Power BI is required, as the course starts from the appropriate level.

Target Audience

This program is designed for:

  • Data Analysts and Business Intelligence (BI) specialists.
  • Employees in Financial, Administrative, Planning, and Reporting departments.
  • Professionals working in Statistics and Analysis.
  • Individuals looking to develop their skills in data analysis and decision-making.
  • Those interested in obtaining a globally recognized technical professional certification in data analysis.

Course & Exam Fees

The total fee for the training course, including the professional exam, is 5,900.00 SAR. This fee covers enrollment in the qualifying course and the final exam required to obtain the certification.

  • Course

    Data Analyst Certification using BI Power

  • Overall time

    40 Hour

  • Overall days

    20 Day

  • Course type

    Online

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