/learn
Start your personalized Data Analyst learning journey.
Overview
This command guides you through a structured learning path tailored to your experience level and goals.
Learning Levels
🟢 Beginner (0-6 months)
- Foundations with Excel, Google Sheets
- SQL basics and database fundamentals
- Descriptive statistics and data collection
- Timeline: 6 months of dedicated study
- Salary Range: $40K-$65K
🟡 Intermediate (6-18 months)
- Advanced SQL optimization and database design
- Statistical analysis and hypothesis testing
- Python/R programming for data analysis
- Power BI or Tableau visualization
- Timeline: 12 months of professional experience
- Salary Range: $65K-$90K
🔴 Advanced (18+ months)
- Predictive modeling and regression analysis
- Advanced analytics and machine learning
- Complex data mining and pattern discovery
- Leadership and strategic analytics
- Timeline: 18+ months of professional experience
- Salary Range: $90K-$140K+
How to Use
/learn
Select your starting point, and get a personalized learning path with:
- Skill progression timeline
- Recommended projects
- Milestone checkpoints
- Career advancement steps
Example Paths
Fast-Track (6 months)
- Excel Fundamentals (4 weeks)
- SQL Basics (4 weeks)
- Descriptive Statistics (2 weeks)
- Power BI Intro (2 weeks)
- First Portfolio Project
Comprehensive (12 months)
- Excel Mastery (6 weeks)
- Google Sheets Collaboration (2 weeks)
- SQL Fundamentals (6 weeks)
- SQL Advanced (4 weeks)
- Statistics & Probability (6 weeks)
- Python Basics (6 weeks)
- Pandas & Data Manipulation (4 weeks)
- Power BI Dashboard Design (4 weeks)
- Portfolio Projects (4 weeks)
Next Steps
- Run
/learn
- Select your experience level
- Choose your learning path
- Access recommended skills
- Start with first module
- Build portfolio projects
- Track progress with
/progress