📈 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.