Guide To Get In Data Science — Part-2
Guide To Get In Data Science — Part-2
Things to know to get into Data Science
Things to know to get into Data Science
Statistics — A lot of companies ask on Bayes theorem and Normal distribution
Machine/Deep learning basics — Algorithm pros/cons and working
Strong coding skills — Python + Competitive coding
Database — Minimum required is SQL skills. Good to know both SQL and NoSQL databases.
Cloud computing — A huge add-on but not an absolute necessity. Learn AWS(Amazon Web Services)
Github — Displaying good work on Github shows confidence and enthusiasm — what best companies look for
Blog — Blogging leads to self-clarity on your topics of interests. Also, since I learnt a lot by reading blogs of others, I always feel like giving back by to the community.
In general how the study looks like!
https://github.com/brohrer/academic_advisory/blob/master/curriculum_roadmap.md
Math basics (Calculus and Linear Algebra)
Python basics
There is no doubt why you should make Python your playground for all the data science activities. (Avoid ‘R’ language at all cost as it has no advantage over Python)
Machine learning
Andrew’s course(Do assignments in Python and not in Octave for best start)
Udacity’s course(I think it’s better to watch it after Andrew’s course)
Image processing
NLP(Natural Language Processing)
Deep learning
Computer vision → Convolutional Neural Networks
Cloud & Big Data
Amazon Web Services(AWS) cloud skills are in high demand right now as everyone wants to deploy their new and old solutions on cloud. Sizzle it up with Big-data skills and you will become every company’s fantasy employee.
Get into NLP
Read Zero To One For NLP
This was originally published at Modern NLP.