Quality Data Management & Power BI 2025

Overview
This program is designed to give in-depth hands-on application on different data management and provides a comprehensive overview of the principles, techniques, and technologies involved in managing data effectively throughout its lifecycle.
Learning Objectives
By the end of this program, participants will be able to:
- Identify data concept:
- Identify fundamental data management concepts related to data, such as types of data, data models, data formats, and data lifecycle.
- Data quality and governance:
- Explain strategies for ensuring data quality, such as data cleaning, deduplication, and validation.
- Discuss data governance frameworks.
- Key indicators:
- Differentiate between various key indicators models (KSIs, KPIs, departmental KPIs, and strategic KPIs) and analyze their effect on the organizational performance.
- Key indicators ID formulation and application:
- Create an ID card and identify how to implement.
- Dashboard and reporting:
- Design data visualizations, build dashboard and report data.
- Data analysis:
- Analyze data and create formulas on excel.
- Get familiar with the Power BI environment:
- Define the layout and functionalities of Power BI Desktop and other relevant tools.
- Connect to and import data:
- Demonstrate how to connect Power BI to various data sources and import data for analysis.
- Transform and clean data:
- Transform and clean data using Power Query Editor for better analysis.
- Build data models:
- Create and manage data models for effective reporting.
- Create visualizations:
- Develop the ability to create different charts, graphs, and other visual elements to present data insights.
- Design reports and dashboards:
- Design and build interactive reports and dashboards that communicate information effectively.
- DAX (Data Analysis Expressions):
- In some courses, identify the basics of DAX, a formula language used to create custom calculations and measures within.
Program Outline
Lectures | Topic | Hours | |
Day 1 | Lecture 1 | Understating data concept | 3 Hours |
Lecture 2 | Data quality and governance | ||
Day 2 | Lecture 3 | Key performance indicators | 3 Hours |
Key performance indicators formulation and application | |||
Day 3 | Lecture 4 | Dashboard and reporting | 3 Hours |
Day 4 | Lecture 5 | Data analysis | 3 Hours |
Day 5 | Lecture 6 | Get familiar with the power bi environment | 3 Hours |
Connect to and import data | |||
Transform and clean data | |||
Day 6 | Lecture 7 | Build data model | 3 Hours |
Lecture 8 | DAX(data analysis Expressions) | ||
Day 7 | Lecture 9 | Design reports and dashboard | 3 Hours |
Lecture 10 | Create visualization |
Available Dates
Waves | From | Date | Day |
Wave 1 | 10:00 AM- 01:00 PM | 12/07/2025 – 23/08/2025 | Every Saturday |
Wave 2 | 09:00 AM- 12:00 PM | 11/07/2025 – 22/08/2025 | Every Friday |
Mode of Delivery
Online
Target Audience
Post Graduates from Faculty of Medicine, Nursing, Pharmacy, Science, Physiotherapy and Dental
Certificate Requirements
In order to receive your certificate, you have to attend not less than 80%
- Hard copy for 300 Egyptian Pounds
- Soft copy for free
The fees of the course will be directed towards the treatment of our children.
Course Fees and Registration
Quality Data Management & Power PI 2025
4000 EGP