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Getting a Job in Data Science: What and how to learn
- 1. Getting a Job in Data Science What and How to Learn Jeff Hale LinkedIn: linkedin.com/in/jeff-hale-99a7877 Medium: medium@jeffhale
- 8. Methodology - USA - October 2018 - “Data Scientist”
- 10. Prioritize these five skills - Computer Science - Machine Learning - Analysis - Statistics - Communication
- 11. Tools
- 14. What to learn
- 15. # 1 Learn and demonstrate you have the skills your ideal employers want
- 16. # 2 Learn skills likely to continue to be in demand
- 17. # 3 Learn things you are excited about then Learn things you are less excited about
- 18. Not giving up is the most important thing
- 20. Tools
- 22. Python stack (Numpy, Pandas, Matplotlib, Scikit-learn)
- 23. Recommended - Python (Pandas, Numpy, Scikit-learn) - SQL - Tableau - AWS - Keras -> Tensorflow (or FastAI -> Pytorch)
- 25. What doesn’t work? - Just reading articles or books - Just copying code - Just following tutorials
- 32. Teaching/learning process with Medium article 1. Google Sheet 2. Jupyter Notebook (local) 3. Outline, draft, and revise Medium article (ad nauseum) 4. Notebook to Kaggle Kernel 5. Notebook on GitHub 6. Publish 7. Promote
- 33. Demonstrate skill, help others, and learn at same time!
- 35. Bonus: Present
- 36. Recap - Decide which skills to prioritize - Make articles and notebooks showing those skills - Repeat
- 41. Jeff Hale - Entrepreneur - Transitioning to data science - Interviewing now - Feedback encouraged
- 42. Data Community DC Agents Our job is to be a resource for you http://www.datacommunitydc.org/agents/
- 43. Getting a Job in Data Science What and How to Learn Jeff Hale LinkedIn: linkedin.com/in/jeff-hale-99a7877 Medium: medium@jeffhale