How to be a
DATA SCIENTIST in
4*2 steps
math & statistics
machine learning
hacking skills
Here’s DATA SCIENCE!
traditional research
danger zone
substantive expertise
Data scientists are better than… …software engineers in Statistics …statisticians in Software engineering
STEP 1 Improve at stats, math & machine learning
STEP 2 Learn to code
Grasp end-to-end development
Choose a first language
Learn interactively
STEP 3 Understand databases
Get savvy with MySQL, Postgres, MongoDB, Cassandra etc. Learn databases intimately
STEP 4 Master data munging, visualization & reporting
STEP 5 Level up with Big Data
Distributed processing is the key! USE Hadoop MapReduce Apache Spark see what data looks like!
STEP 6 Meet (other) data scientists
Practice makes perfect!
Join competitions
Meet fellow data scientists
Have a pet project
Sharpen intuition
STEP 7 Intern, bootcamp or get a job
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!
STEP 8 Join the community
Share more to learn more! Sites
DataTau Kdnuggets FiveThirtyEight Datascience101 R-bloggers
Yo u a r e n o w a DATA S C I E N T I S T ! Say THANK YOU to
DATA CAMP @DataCamp_com
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