Data Analysis Diploma
96 Hours
A complete, hands-on path to becoming a professional data analyst
This diploma is designed to take you from data analysis fundamentals to building advanced dashboards, reports, and insights using the most in-demand tools
You will gain practical skills that enable you to analyze data, communicate insights, and support data-driven decision-making across industries
Why Data Analysis now
🚀 Every business depends on data to make informed decisions
🚀 Data analysts are among the most in-demand roles across all sectors
🚀 This diploma focuses on real tools, real projects, and real-world analysis skills
Core skills you will master
🐍 Analyze data using Python with real-world datasets
📊 Build advanced reports and dashboards using Power BI
📈 Perform data analysis and visualization using Excel at a professional level
🗄 Query, manipulate, and analyze data using SQL databases
📉 Communicate insights clearly through charts, dashboards, and storytelling
🏗 Apply data modeling, ETL, and best practices used in professional environments
Learning experience and deliverables
🎟 Ticket system for continuous instructor support
🛠 Multiple hands-on projects across Python, Excel, SQL, and Power BI
⏱ 96 intensive training hours focused on applied learning
📝 Assignments that reinforce technical and analytical skills
Quality, licensing, and recognition
🏛 Licensed by the Ministry of Communications and Information Technology
🏢 Registered member of the Information Technology Industry Development Agency ITIDA
📜 ISO 9001:2015 certified quality management system
🔧 Training programs accredited by the Egyptian Appliances Syndicate
👷 Training programs accredited by the Engineers Syndicate
⚙ Training programs accredited by the Applied Professions Syndicate
What you will study
📘 Core Data Analysis topics that provide learners with the technical knowledge and practical skills required for professional data analyst roles
Diploma curriculum
Introduction to Data Analysis
📌 Fundamentals of data analysis and data collection
📌 Data preparation, exploration, and communication
Power BI for Data Analysis and Visualization
📌 Data analysis techniques using Power BI
📌 Data visualization principles
📌 Building interactive reports and dashboards
Data Modeling in Power BI
📌 Introduction to data modeling
📌 Advanced data modeling techniques
📌 Best practices and model optimization
ETL in Power BI
📌 Data extraction and ETL fundamentals
📌 Data transformation in Power BI
📌 Data loading and best practices
Power BI Projects
📌 Building professional reports and dashboards
Data Visualization with Python
📌 Visualization fundamentals with Plotly
📌 Interactive dashboards using Dash
Data Analysis with Python
📌 Introduction to data analysis with Python
📌 Exploratory data analysis and visualization
Databases and SQL for Data Analysis
📌 Database fundamentals and SQL basics
📌 Advanced queries and data manipulation
Fundamentals of Python for Data Analysis
📌 Python fundamentals and data structures
📌 File handling and NumPy
📌 Data manipulation with Pandas
📌 Data visualization with Matplotlib and Seaborn
Data Visualization with Excel
📌 Advanced charting techniques
📌 Data preparation and dashboard creation
📌 Visual storytelling with Excel
Excel for Data Analysis
📌 Excel fundamentals
📌 Advanced Excel features for data analysis
📌 Data analysis techniques in Excel
Tableau for Data Analysis
📌 Introduction to Tableau and data connections
📌 Advanced visualizations and calculations
📌 Interactive dashboards and storytelling
Who can join
💻 You must own a computer
🎓 No prerequisites required, the diploma takes you from beginner to professional level
🔥 Passion to learn programming and data analysis
Program overview
This comprehensive diploma is designed to equip participants with the skills and tools required to excel in the field of data analysis. The curriculum blends fundamental concepts with hands-on practice using industry-standard tools such as Python, Excel, SQL, Power BI, and Tableau.
Through workshops, assignments, and real projects, you will learn how to clean data, analyze trends, build dashboards, and communicate insights effectively. By the end of the diploma, you will be ready to work confidently as a professional data analyst in real business environments
