Resources
Resources
Resources
1. Python
http://interactivepython.org/runestone/static/pythonds/index.html
2. SQL
Before you learn SQL you need to learn how relational databases work from the
design point of view. Read Tom Jewett's tutorial on database design
http://www.tomjewett.com/dbdesig... for a clear and competent explanation.
Then move on to w3schools' SQL tutorial (http://www.w3schools.com/sql/def...).
You'll review some of the concepts you already learned (which is always a good
thing) and read more about SQL's syntax from a slightly different pont of view.
Dive into practical SQL, create databases mapping some real world cases, learn
how to query for data
Have some SQL expert review your work, this can save you a lot of time
avoiding common mistakes and pitfalls
When you have enough of basics, learn the tricks from the best. If you're into
MySQL I suggest reading http://planet.mysql.com/ and
http://www.hackmysql.com before it's taken offline (the site is not maintained
anymore).
The best way to learn any language, including SQL, is to use it to make progress
toward something you care about. Unless you somehow think SQL is the most
mesmerizing thing in the universe, it's hard to sit down and grok through W3School
and its ilk. Instead, you should find a problem that interests you that requires
some knowledge of SQL.
3. R
4. Stats Books
5. Excel http://www.excel-easy.com/
R
o http://www.tutorialspoint.com/r/
o https://www.r-project.org/
Statistics
o http://onlinestatbook.com/
o http://www.umjacksonem.net/wp-
content/uploads/2014/08/Complete-Idiots-Guide-Statistics-
2nd.pdf
o https://www.khanacademy.org/math/statistics-probability
Excel
o https://www.youtube.com/playlist?list=PL3FBEE51974F03CCF
Python
o https://www.codecademy.com/learn/python
o https://www.datacamp.com/courses/intro-to-python-for-data-
science