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ESAMI - Business School
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    • 2026 GLOBAL INTAKES
      • PROJECT RISK MANAGEMENT- INTAKE 55 PM GLOBAL
      • PROJECT FEASIBILITY STUDIES- INTAKE 53 PM GLOBAL
      • MARKETING MANAGEMENT- INTAKE 50-54 CATCH UP
      • PROJECT CYCLE MANAGEMENT- INTAKE 55 PM GLOBAL
      • DOMAIN 1: PEOPLE
      • PUBLIC FINANCIAL MANAGEMENT- 53 MPA GLOBAL
    • MBA 2021
      • Research Methods- Global Class
      • Managerial Economics 42/43 Lilongwe
      • Finance in International Markets
      • Project Monitoring & Evaluation
      • Managerial Economics- 43 Global
      • Managerial Economics- Intake 43 BT & WHK
    • 2023 DAR INTAKES
      • MANAGEMENT ACCOUNTING - INTAKE 48 DAR
      • ICT FOR PROJECT MANAGEMENT- INTAKE 47 PM -DAR
      • PROJECT RISK MANAGEMENT- INTAKE 47 PM DAR
      • MANAGERIAL ECONOMICS- INTAKE 46 DAR
      • LEADING CHANGE & RESTRUCTURING- INTAKE 46 DAR
      • PROJECT FINANCE- INTAKE 49 PM DAR
    • LATE SUBMISSIONS FOLDER
      • Late Project Assignment Submissions
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  • Courses
    2026 GLOBAL INTAKES
    • PROJECT RISK MANAGEMENT- INTAKE 55 PM GLOBAL
    • PROJECT FEASIBILITY STUDIES- INTAKE 53 PM GLOBAL
    • MARKETING MANAGEMENT- INTAKE 50-54 CATCH UP
    • PROJECT CYCLE MANAGEMENT- INTAKE 55 PM GLOBAL
    • DOMAIN 1: PEOPLE
    • PUBLIC FINANCIAL MANAGEMENT- 53 MPA GLOBAL
    MBA 2021
    • Research Methods- Global Class
    • Managerial Economics 42/43 Lilongwe
    • Finance in International Markets
    • Project Monitoring & Evaluation
    • Managerial Economics- 43 Global
    • Managerial Economics- Intake 43 BT & WHK
    2023 DAR INTAKES
    • MANAGEMENT ACCOUNTING - INTAKE 48 DAR
    • ICT FOR PROJECT MANAGEMENT- INTAKE 47 PM -DAR
    • PROJECT RISK MANAGEMENT- INTAKE 47 PM DAR
    • MANAGERIAL ECONOMICS- INTAKE 46 DAR
    • LEADING CHANGE & RESTRUCTURING- INTAKE 46 DAR
    • PROJECT FINANCE- INTAKE 49 PM DAR
    LATE SUBMISSIONS FOLDER
    • Late Project Assignment Submissions

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    4. python for finance investment fundamentals & data analytics
    5. Summary

    python for finance investment fundamentals & data analytics

    • Teacher: Sandy Banda

    python for finance investment fundamentals & data analytics
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    Phone: Tel: +255 27 297 00 70/1/2/3

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