Learning Path
Learning Path: Data Scientist
A practical path: analytics foundations → modeling → portfolio projects → interviewing.
Step 1: Analytics foundation
- SQL + data wrangling + basic stats.
- Build dashboards or simple analyses.
Step 2: Modeling & evaluation
- Supervised learning basics, metrics, validation.
- Practice on real datasets.
Step 3: Portfolio + interview prep
- 2-3 solid projects (end-to-end).
- SQL + case studies + ML basics for interviews.
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