Learn Python for Data Analytics
Master Data Science with Python - Pandas, NumPy & Visualization
🎯 Your Python Data Analytics Journey
Python Foundations
Variables, data types, control structures
Data Manipulation
Pandas for data cleaning & analysis
Data Visualization
Matplotlib & Seaborn charts
Real Projects
Kenya market data analysis
Python for Data Analytics - KES 12,000 (One-Time Payment)
FREE Trial Class: Try the first session free - no risk, just learning!
Flexible Payment: Pay in two installments - KES 6,000 now, KES 6,000 later
Learn Your Way: Flexible schedule - we adapt to your learning pace
Ongoing Support: Get help even after completing the course
💡 Maximize Your Skills: Combine with SQL & Power BI in our 3-in-1 Data Mastery Program for just KES 20,000!
🐍 Master Python Through Real Data Projects
8+ Data Analysis Projects
Build complete data analysis workflows: Kenya sales data analysis, customer segmentation, financial modeling, market research automation. Each project teaches pandas, matplotlib, and real-world Python skills.
Kenya Business Cases
Analyze real Kenyan business data: M-Pesa transactions, agricultural yields, market trends, healthcare statistics. Learn Python through problems you'll solve in your career.
Automation Scripts
Build Python automation tools: report generators, data cleaners, web scrapers, email automation. Create scripts that save hours of manual work every week.
🎨 Your Python Portfolio
Every project becomes a showcase piece. Build a GitHub portfolio that demonstrates your Python data analysis capabilities to employers.
🚀 Career Opportunities in Kenya
📊 Data Analyst
KES 60,000 - 120,000/month (entry-level)
High Demand🔬 Data Scientist
KES 100,000 - 200,000/month (with experience)
Very High Demand💼 Business Analyst
KES 55,000 - 100,000/month (entry-level)
Growing Field📈 Market Research
KES 50,000 - 90,000/month (entry-level)
Stable Growth📋 Career Reality Check: These salary ranges represent market averages for different experience levels. Entry-level positions typically start at the lower end. Building a strong portfolio through practice projects and gaining relevant experience are key to career advancement. Results vary based on individual effort, market conditions, and opportunities.