Course Poster

Course Poster

Description

This micro-credential aims to equip learners with advanced Business Intelligence skills using Microsoft Power BI. The program focuses on data modeling, advanced DAX calculations, interactive dashboard development, and performance optimization. Participants will design complete BI solutions that support managerial and strategic decision-making.

Target Group

  • Undergraduate students in Business Administration, Accounting, Finance, Economics, and Marketing
  • Students in Computer Science, Information Systems, and Data Science
  • Graduates interested in pursuing careers in Data Analytics, Business Intelligence, or Financial Analysis
  • Professionals working in finance, sales, marketing, and business operations who need to analyze and visualize organizational data
  • Individuals seeking to enhance their data-driven decision-making and reporting skills


Requirements

  • Basic knowledge of computer applications and data handling
  • Familiarity with Microsoft Excel or spreadsheet tools
  • Fundamental understanding of business, financial, or operational data is recommended
  • Enrollment in or graduation from a program in business, economics, finance, accounting, computer science, or related fields is preferred

No prior experience with Power BI is required; however, basic analytical and digital skills will support successful participation in the course.

Course Duration

30 Hours

Learning Method

Hybrid (Online & Offline)

Assessment Method

Practical Assignment

Certificate Title

POWER BI FOR BUSINESS INTELLIGENCE & DATA ANALYTICS

Certificate Type

Micro-Credential

College

An-Najah Academy for Future Skills & Lifelong Learning

Coordinator

Name: Soheil Salha
Email: ssalha@najah.edu

ECTS

1.00

Main Topics

• Business Intelligence Architecture

• Power Query & Data Preparation

• Data Modeling & Relationships

• Advanced DAX Calculations

• Dashboard Design & Data Storytelling

• Performance Optimization

• Final Applied BI Project

Assessment Details

Assessment Components:

  • Applied Project – 40%
  • Practical Assignment – 30%
  • Simulation / Field Training – (included within practical activities)
  • Professional Test – 20%
  • Portfolio – 10%

Brief Description of the Assessment Method and Passing Criteria:

Assessment is based on a combination of practical performance, applied learning, and professional competency. Students are evaluated through an applied project, practical assignments, a professional test, and a portfolio demonstrating their learning outcomes and skills development.

Minimum passing grade: 60%, with mandatory successful completion of the final applied project.

Platforms Used

www.najah.ai

Stackability Type

Stackable within a Professional Path

Stackability Details

This micro-credential is designed as a stackable learning unit within the Business Data Analytics and Business Intelligence pathway. Learners can combine it with other related micro-credentials (such as Excel Data Analysis, Financial Analytics, or Sales Analytics) to accumulate credits toward a larger certificate in Business Data Analytics. The micro-credential carries 1 ECTS at EQF Level 6 and can contribute to progressive learning pathways and professional qualifications in data analysis, business intelligence, and financial analytics.

Approvals

Department Approved: Yes
Faculty Approved: Yes
Approval Date: 2026-05-03

European Qualifications Framework Level

Level 6