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THE DATA SCIENCE LEARNING PATHWAY, 12 MONTHS TO EMPLOYMENT-READY:
Months 1โ3: Foundation
Google Data Analytics Certificate + Python for Everybody.
Build data analysis basics and Python fundamentals simultaneously.
Months 4โ6: Technical depth
IBM Data Science Professional Certificate.
Complete the full data science workflow including machine learning.
Months 7โ8: Specialization
Choose your highest-priority specialization:
โ SQL: SQL for Data Science + Databases and SQL with Python.
โ Visualization: Tableau specialization + Power BI.
โ Research/Development context: Data Science for Social Good + Public Health Data Science.
Months 9โ10: Portfolio development
Complete 3 applied projects using real datasets relevant to your target sector.
Post projects on Kaggle and GitHub.
Write blog posts on Medium explaining what you did and what you found.
Months 11โ12: Job search
Update LinkedIn with all completed certificates and portfolio links.
Apply for data analyst and junior data scientist roles in your target sector.
Target development sector employers specifically, where your combination of technical skills and sector knowledge is exceptionally scarce and exceptionally valuable.
WHERE TO FIND DATA SCIENCE JOBS IN INTERNATIONAL DEVELOPMENT:
๐ https://t.co/C37hqJaKOM Search "data analyst," "data scientist," "MEL data."
๐ https://t.co/ix1NdkMfMX UN data and analytics positions.
๐ https://t.co/j9DK3FZYQl Humanitarian data and information management roles.
๐ https://t.co/HenoOdBPlG Broad market data science roles.
๐ https://t.co/Gm2na5iU94 Data science consulting for NGOs and research organizations.