Khaled Hassan Abdelhafez
Course Description
The Advanced Data Analysis course provides a comprehensive journey into the world of data analysis, from foundational concepts to advanced applications. Participants will explore core techniques, learn to work with advanced SQL, leverage Python for exploratory data analysis, and create compelling visualizations with Tableau. The course combines theoretical knowledge with practical, project-based learning to equip learners with the tools needed to solve real-world data challenges.
Course Purpose
The purpose of this course is to enable participants to transform raw data into actionable insights using advanced analytical techniques and modern tools. By the end of the course, participants will have a robust understanding of data analysis processes, tools, and methods, as well as the ability to apply these skills effectively in professional and academic settings.
Skills / Knowledge
- Define analytical problems and structure the data analysis process from collection to insights.
- Prepare raw datasets for analysis by handling missing values, outliers, and inconsistencies.
- Write complex queries using joins, subqueries, window functions, and CTEs to extract and transform data efficiently.
- Perform CRUD (Create, Read, Update, Delete) operations in SQL to manage and modify datasets.
- Automate data workflows using Python, leveraging Pandas, NumPy, and control structures (loops, dictionaries).
- Analyze datasets statistically and visually using Python libraries.
- Design clear, impactful visualizations and interactive dashboards in Tableau.