The document outlines an 8-step guide on becoming a data scientist, emphasizing the importance of math, statistics, coding, and machine learning. Key steps include mastering databases, data visualization, gaining experience through internships, and joining the data science community. The guide concludes with encouragement to engage with the community and resources to enhance learning.

1. How to be aDATA SCIENTISTin4*2 steps

2. math & statisticssubstantive expertisehacking skillsmachine learningtraditional researchdanger zoneHere’s DATA SCIENCE!

3. Data scientists are better than… …software engineers in Statistics…statisticians in Software engineering

4. STEP 1Improve at stats, math & machine learning

5. STEP 2Learn to code

6. Grasp end-to-end development Choose a first language Learn interactively

7. STEP 3Understand databases

8. Get savvy with MySQL, Postgres, MongoDB, Cassandra etc. Learn databases intimately

9. STEP 4Master data munging, visualization & reporting

10. STEP 5Level up with Big Data

11. Distributed processing is the key! USE - Hadoop MapReduce Apache Spark see what data looks like!

12. STEP 6Meet (other) data scientists

13. Practice makes perfect! Join competitions Meet fellow data scientists Have a pet project Sharpen intuition

14. STEP 7Intern, bootcamp or get a job

15. Take the bull by the horns! Best way to find out if you’re cut out for data analytics & science Intern or bootcamp Get hired!

16. STEP 8Join the community

17. Share more to learn more! Sites- DataTau Kdnuggets FiveThirtyEight Datascience101 R-bloggers

18. Say THANK YOU to DATA CAMP@DataCamp_comYou are now a DATA SCIENTIST!

19. Already a Data scientist? Get data here: