🧠 Data Analysis Roadmap

Welcome to my Data Analysis Roadmap!
This repo is a structured plan to master Data Analysis, from fundamentals to advanced tools, including SQL, Python, R, Power BI, and Statistics.

---

🚀 Roadmap Phases

🧠 Phase 0: Foundations & Mindset

• Core Understanding
• Types of Data Analytics
• Data Lifecycle
• Data Quality Concepts
• Business Language
• Analytical Thinking

📊 Phase 1: Business Thinking + Excel

• KPI & business metrics
• Excel Advanced Formulas & Pivot Tables
• Power Query & Dashboarding
• Insight Writing
• 🔥 Project 1 – Sales Performance

🗄️ Phase 2: SQL (Professional Level)

• Database fundamentals
• Advanced SQL: JOINs, Subqueries, Window Functions
• Data quality in SQL
• Business Scenarios Analysis
• 🔥 Project 2 – E-commerce Analysis

📈 Phase 3: Power BI

• Data Modeling & Star Schema
• DAX Functions & Time Intelligence
• Executive Dashboards & Storytelling
• Governance Concepts
• 🔥 Project 3 – Company Dashboard

🐍 Phase 4: Python for Data Analysis

• Python Basics & Functions
• Pandas: Data Cleaning, Filtering, Aggregations
• Visualization & Reporting (matplotlib / seaborn)
• Python as Analyst
• 🔥 Project 4 – Real Dataset Analysis

📐 Phase 5: Statistics for Analysts

• Core Statistical Concepts
• Sampling & Bias
• Correlation & Causation
• A/B Testing & Forecasting
• 🔥 Project 5 – Marketing Analysis

---

📌 About Me

Mohamed Darwish – Data Analyst & Aspiring Data Engineer

• 🔹 SQL | Python | R | Power BI
• 🔹 Turning data into insights
• 🔹 Always learning & improving

---

📫 Contact Me

• Gmail: mdarwiish009@gmail.com
• LinkedIn: Mohamed Darwish

---

📝 Notes

This roadmap is a personal learning plan, feel free to use it as a reference or modify it according to your learning path.

---