Title here
Summary here
Data Analyst Career Path
Complete learning path to become a professional data analyst in 3-6 months
71
Lessons
5
Modules
3-6
Months
5+
Projects
Learning Path
Complete these modules in order to become job-ready
Phase 1
Python Basics
Master fundamental programming concepts, data structures, and control flow. Perfect for complete beginners.
- Variables & Data Types
- Loops & Conditionals
- Functions & Modules
- Lists & Dictionaries
Phase 1
Python Advanced
Explore object-oriented programming, decorators, generators, and advanced Python patterns.
- Object-Oriented Programming
- Decorators & Closures
- Generators & Iterators
- Context Managers
Phase 2
NumPy Fundamentals
Learn array operations, vectorization, and numerical computing. Foundation for data analysis.
- 1D & 2D Arrays
- Array Indexing & Slicing
- Vector Operations
- Boolean Indexing
Phase 2
Pandas Data Analysis
Master data manipulation, cleaning, and analysis with pandas. Core toolkit for data analysts.
- DataFrames & Series
- Data Cleaning & Transformation
- GroupBy & Aggregation
- Merging & Joining
Phase 3
Data Visualization
Create professional charts and visualizations with Matplotlib and seaborn. Tell stories with data.
- Line & Scatter Plots
- Bar Charts & Histograms
- Customization & Styling
- Subplots & Grid Layouts
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What You'll Learn
- Python Programming from scratch
- Data analysis with Pandas & NumPy
- Data visualization techniques
- Real-world data cleaning & transformation
- Statistical analysis fundamentals
Career Outcomes
- Data Analyst positions
- Junior Data Scientist roles
- Business Intelligence Analyst
- Marketing Analyst opportunities
- Financial Analyst positions
100% Free
No hidden costs, no premium tiers. Complete access to all content.
Project-Based
Build 5+ real-world projects for your portfolio.
Self-Paced
Learn at your own speed. No deadlines or pressure.
Ready to Start Your Data Analyst Journey?
Begin with the first lesson and work your way through the complete path