Building a Data Science Career

10-Point Checklist

1. Familiarize yourself with the data science basics and applications (data strategy, data literacy, data-driven business growth)
2. Learn the theoretical concepts behind data science (Mathematics, Probability, Statistics).
3. Start with programming languages for data science (Python, R, SQL).
4. Perfect your visualization skills (Power BI, Tableau, Python, R, Excel).
5. Start building your project portfolio.
6. Create a professional network by joining data science discussions and events.
7. Build your online presence and establish yourself as an expert.
8. Research different roles, industries, and data science companies.
9. Look for data science jobs and organizations you’d like to work for.
10. Be proactive and approach specialist recruiters like Sumner & Scott!