Advanced Data Analysis Diploma

Overview

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Learning Outcomes

• Articulate the importance and various applications of data analysis across industries.
• Differentiate between qualitative and quantitative data and their respective uses.
• Define problems and outline the data analysis process from data collection to reporting.
• Apply data cleaning and preprocessing techniques to prepare datasets for analysis.
• Use advanced SQL concepts such as joins, subqueries, window functions, and CTEs to manipulate and analyze data.
• Perform data manipulation tasks including data insertion, updates, and deletions using SQL tools.
• Develop Python scripts to connect to data sources, manipulate arrays, dictionaries, and loops, and implement key libraries like Pandas and NumPy for analysis.
• Conduct exploratory data analysis (EDA) using Python, generating descriptive statistics and visualizations with Matplotlib and Seaborn.
• Create effective data visualizations and dashboards using Tableau, adhering to best practices.
• Apply analytical techniques to solve real-world problems through SQL, Python, and Tableau projects.

Who should Enroll

• Beginners in the data analysis field
• Young people aged 16 to 35
• Individuals interested in data analysis and seeking a data analyst role

Instructor

Zaid Ahmed

A Senior Business Intelligence Specialist at Vodafone Intelligent Solutions (VOIS) with 5 years of experience in Business Intelligence, Data Analytics, and Performance Reporting. Experienced in delivering data-driven solutions across telecom and business environments, leveraging Power BI, SQL, Python, and advanced analytics to transform complex data into actionable insights across Egypt and gulf area. Skilled in building executive dashboards, optimizing KPI frameworks, and sharing industry-focused knowledge through hands-on training in BI and analytics.

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