Data Analysis & Business Intelligence Diploma

A professional executive program specifically designed for business leaders, chief executives, and analytical unit managers. It merges scientific depth in data analysis with practical Competitive Intelligence to transform data into strategic competitive insights that support evidence-based decisions and reduce risks.

Everything You Need to Know Before Joining the Diploma

Your Guide to Making an Informed Decision
Key questions to help you confidently decide whether to enroll.

Is the diploma comprehensive?
Yes, the diploma is fully comprehensive, following a practical path from the fundamentals of data literacy to advanced techniques, and ending with hands-on projects.
Are there corporate programs?
Yes, we offer tailored corporate programs with flexible schedules, customized content, assessments, and progress reports. Contact our training team for more details or a personalized proposal.
What is the duration of the diploma?
The diploma spans approximately 105 training hours, covering both beginner and advanced levels. It includes live lectures, self-paced learning, practical exercises, and capstone projects.
Is a data analyst the highest-paying job globally?
Data analysis is one of the fastest-growing and most in-demand careers in the Gulf region, particularly in Saudi Arabia. It offers lucrative opportunities in banks and government sectors, according to Glassdoor, GulfTalent, and LinkedIn.
Is there a refund guarantee?
Yes, we offer a 100% money-back guarantee within 14 days of enrollment. Terms and conditions apply.
Is this program suitable for executives?
Yes, the program is specifically designed for business leaders, chief executives, unit managers, and analytical teams. It is an advanced executive program that focuses on integrating data analysis with Competitive Intelligence to enable you to read the market, anticipate competition, and make strategic evidence-based decisions.
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Diploma Content

Basic Excel for Data Analysis

Build a solid foundation in Excel for data analysis. Learn the program interface, how to work with cells and ranges, and how different types of cell references function. You’ll also master the essential Excel functions needed to prepare for more advanced data analysis.

Data Analysis Using Excel

Learn how to analyze data efficiently in Excel using Power Query, Power Pivot, and DAX. Explore data visualization techniques and create interactive dashboards to support informed, data-driven decision-making.

Data Literacy

Learn how to use data to understand customers and improve operations. Develop the skills to make informed decisions that support business growth.

Data Analysis Using Power BI

Learn how to clean data, build models, and create advanced metrics with DAX. Explore Power BI’s full capabilities in analysis and reporting — including AI-powered insights that help you dig deeper and make smarter decisions.

Data Analysis Using SQL

Learn how to use SQL to extract, clean, and prepare data for analysis. Explore how to write efficient queries to filter, organize, and refine data effectively.

Data Storytelling

Learn how to analyze and present data in a clear and engaging way. Choose the right visuals, design effective dashboards, and turn insights into stories that others can understand and act on.

Advanced Power BI

Enhance your skills in building advanced data models using DAX techniques and performance optimization methods. Learn how to create robust, scalable business intelligence solutions that deliver fast analysis and accurate metrics across real-world scenarios.

Power Platform & Automation

Learn how to use Power Automate and other Power Platform tools to streamline repetitive processes, integrate data from multiple sources, and boost business productivity.

Descriptive Statistics

Learn how to use measures of central tendency, such as mean and median, and measures of dispersion to understand and describe data accurately. Gain the skills to interpret these measures and connect them to business decisions for data-driven insights.

Diploma Objectives

By the end of the diploma, learners will gain practical, job-ready skills to design and implement actionable business analytics solutions.

Data Literacy Skills

Gain the ability to understand data fundamentals—including types, sources, interpretation, and quality validation—while communicating clear insights to support business decisions.

Descriptive Statistics

Apply descriptive statistical techniques to summarize data, identify patterns, and provide evidence-based insights that support informed business decisions.

Data Storytelling & Visualization

Learn how to turn analytics into clear, compelling stories by choosing the right visuals to present insights and influence decision-makers.

Power Platform & Automation

Gain automation and integration skills using Power Automate and the Power Platform to connect systems, deliver intelligent reports, and boost productivity.

Data Analysis & Reporting Using Power BI

Learn how to connect and transform multiple data sources, build interactive data models, and create visualizations and dashboards that deliver actionable strategic insights.

SQL

Learn how to write effective SQL queries to extract, filter, and join data from databases, creating clean datasets ready for analysis in Power BI and Excel.

Practical Data Analysis Using Excel

Learn how to use advanced Excel features—functions, PivotTables, Power Query, and Power Pivot—to clean, structure, and analyze data efficiently, producing accurate reports.

Advanced Power BI

Master advanced DAX techniques, data modeling skills, and performance optimization to design scalable, high-performance business intelligence solutions.
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Frequently Asked Questions

Who is this diploma for?

This diploma is designed for anyone interested in data analysis. It combines theory with hands-on practice using Excel, Power BI, and AI tools — making it ideal for professionals looking to build strong analytical skills.

Do I need a background in data analysis?

No prior experience is needed. The program starts with the basics and gradually progresses to advanced topics, making it suitable for beginners and professionals alike.

What tools will I learn?

You’ll work with Excel, Power BI, and AI-based techniques to analyze data, build dashboards, perform predictive analysis, and manage large datasets.

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