Data Analyst
Translate data into actionable insights using analysis, visualization, and business intelligence.
Key Skills to Learn
Learning Path
SQL Fundamentals
Master SQL for data querying and analysis.
Duration: 6-8 weeks
Excel Advanced Skills
Learn advanced Excel techniques for data analysis.
Duration: 3-4 weeks
Statistical Analysis
Understand statistics for data-driven decisions.
Duration: 6-8 weeks
Data Visualization
Create compelling visualizations.
Duration: 4-6 weeks
Business Intelligence Tools
Learn Tableau, Power BI, or Looker.
Duration: 6-8 weeks
Python for Analysis
Learn Python for advanced analysis.
Duration: 6-8 weeks
Business Acumen
Understand business metrics and KPIs.
Duration: 4-6 weeks
Portfolio Projects
Build projects showcasing your analysis skills.
Duration: 6-10 weeks
Tools & Technologies
Databases
- • SQL
- • PostgreSQL
- • MySQL
BI & Visualization
- • Tableau
- • Power BI
- • Looker
- • Google Analytics
Spreadsheets
- • Microsoft Excel
- • Google Sheets
Programming
- • Python
- • R
Analysis
- • Pandas
- • NumPy
- • SciPy
- • Matplotlib
- • Seaborn
Hands-On Projects
Sales Dashboard
Create an interactive sales dashboard using BI tools.
Customer Segmentation Analysis
Analyze customer segments and identify trends.
Cohort Analysis Report
Track user cohorts over time to measure retention and engagement.
A/B Testing Analysis
Design and analyze A/B tests with statistical rigor.
Product Analytics Dashboard
Build comprehensive product metrics and analytics dashboard.
Learning Resources
Online Courses
- • DataCamp Data Analyst Path
- • Udemy - The Complete Tableau Training
- • Maven Analytics - SQL & Tableau Course
Books
- • Storytelling with Data by Cole Nussbaumer Knaflic
- • SQL Performance Explained by Markus Winand
- • Lean Analytics by Alistair Croll