Data Analyst Roadmap

📈 Data Analyst Roadmap

Build strong analytical skills from data foundations to business insights

📌 Phase 1: Core Foundations
🐍
Python/Excel
Master Python basics, Excel formulas, and scripting for data cleaning and analysis.
📊
Data Literacy
Understand data types, formats, integrity, and quality assessment techniques.
🧮
Statistics
Build statistical thinking using descriptive and inferential methods.

🔧 Phase 2: Tools & Technologies
🗃️
SQL
Write queries to manipulate, join, and aggregate data in relational databases.
📈
Power BI / Tableau
Develop compelling dashboards and data visualizations to communicate insights.
🧰
ETL Tools
Use tools like Alteryx, Talend, or Python for Extract, Transform, Load processes.

📊 Phase 3: Business & Communication
💼
Business Acumen
Interpret KPIs and understand business needs to drive value through analytics.
🗣️
Storytelling with Data
Craft clear, concise narratives using visual and statistical evidence.
🧑‍🤝‍🧑
Stakeholder Collaboration
Work closely with business users to refine questions and share insights.

🚀 Phase 4: Growth & Advanced Analytics
🤖
Basic Machine Learning
Apply clustering, regression, and classification to uncover trends and patterns.
🔍
A/B Testing
Design and analyze experiments to validate business hypotheses.
📚
Portfolio & Case Studies
Document real-world projects with analysis, dashboards, and business impact.