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Showing posts from November, 2017

Data Science Studies // Python/R [2018 Study Plan]

It's time to start studying again and I've decided against pursuing .NET/Web Programming in favor of Data Science.  I've only begun researching what I need to learn to get better acquainted with 'Data Science' and for now I'll study Python Programming. I'm already pretty good with SQL and Relational Databases (SQL Server, Oracle), but there is much more and beyond Math & Statistics, I wanted to understand how to play around with unstructured data. I. Subject List So my initial study list (subject to change as I learn what I need; and in no particular order): Python Language R Language MongoDB / noSQL Big Data (Hadoop, Hive ) Cloud Tools ( Amazon S3 ) I'll also need to brush up on my Math & Stats skills (it's been a few years since Uni). II. Reading Estimate 4,000 Pages [ 5 ~ 6 books * 500 ~ 800 pages ] 10 months [ 100 pages / week ]  // ETC = October 2018 III. Resources Python Intro to Python 5th Edition - Mark Lutz P