15 - 19 Jun 2025
Cairo (Egypt)
Hotel : Holiday Inn & Suites Cairo Maadi, an IHG Hotel
Cost : 3575 € Euro
This training program is designed to equip participants with the essential skills and knowledge required to effectively collect, analyze, and present business data. In today's data-driven business environment, the ability to gather, interpret, and communicate data insights is crucial for making informed decisions and driving organizational success.
Understand the importance of data in decision-making processes.
Learn techniques for collecting and organizing business data effectively.
Develop skills in analyzing and interpreting data to extract actionable insights.
Gain proficiency in presenting data findings clearly and persuasively to stakeholders.
Apply data visualization principles to enhance the impact of presentations.
This training program is suitable for professionals across various industries who work with data or are involved in decision-making processes. It is particularly beneficial for:
Business analysts
Data analysts
Managers and team leaders
Marketing and sales professionals
Operations and project managers
Anyone interested in enhancing their data literacy skills
Day 1:
Introduction to Business Data Analysis
Understanding the role of data in business decision-making
Types of data: qualitative vs. quantitative, primary vs. secondary
Introduction to data collection methods and sources
Data management and organization best practices
Day 2:
Data Analysis Techniques
Exploratory data analysis (EDA) techniques
Descriptive statistics: measures of central tendency, dispersion, and distribution
Inferential statistics: hypothesis testing, confidence intervals
Introduction to data modeling and predictive analytics
Day 3:
Data Visualization and Presentation
Principles of effective data visualization
Tools and techniques for creating compelling visualizations
Designing dashboards for data monitoring and reporting
Storytelling with data: structuring presentations for maximum impact
Day 4:
Advanced Data Analysis
Advanced statistical analysis techniques (e.g., regression analysis, time series analysis)
Introduction to machine learning concepts and algorithms
Data mining and pattern recognition
Ethical considerations in data analysis and interpretation
Day 5:
Hands-on Workshop and Case Studies
Practical exercises using real-world datasets
Case studies and group discussions on data analysis challenges and solutions
Presentation of individual or group projects showcasing data analysis skills
Review and feedback session