Tidewater Analytics: Tuesday, 13 October
7:00 pm at 757 Creative Space, 259 Granby St. Suite 250, downtown Norfolk.
The feature presentation will by by Brian Magill, a senior programmer at Science Systems and Applications (as well as the organizer for the 757 Python User Group). He will discuss the programming language Julia, which has been compared favorably to R and Python.
Following Brian’s presentation, the Kaggle Machine Learning group will meet.
757 R User’s Group: Tuesday, 20 October
6:30 pm at 757 Creative Space, 259 Granby, Suite 250, downtown Norfolk.
Jay Gendron, of Booz Allen, will discuss Hadley Wickham’s packages tidyr and reshape2, both of which are used for data wrangling.
Tidewater Big Data Enthusiasts: Tuesday, 27 October
7:00 pm, Tuesday, 22 September at 757 Creative Space, 259 Granby St. Suite 250, Norfolk.
Topics this month include an overview of the Big Data ecosystem (e.g, Amazon Web Services, Google Analytics, Microsoft Azure), and a hands-on introduction to Amazon Web Services.
MOOCs and other educational venues:
Coursera has started a number of interesting specialization tracks under the general heading of Data Science. They include the following:
Check out the web sites for start dates.
EdX is picking up the pace, too. One of the new specializations that jumped out at me a six-part Data Analysis for Life Sciences, with Harvard University. That starts on 15 October.
I cannot recommend this enough if you are learning how to code. Named after Rosalind Franklin, the real hero behind the discovery of DNA’s structure, this site has a series of increasingly harder coding problems (similar to Project Euler) that challenge you in a variety of different ways and definitely help you increase your skill level. Unlike Euler’s focus on mathematics, Rosalind is basically about bioinformatics, and the topics fall under the broad headings of string algorithms, combinatorics, graphs and graph algorithms, sorting, set theory, and probability. Good stuff!
This is one of those subscriptions that I highly recommend. There’s always good stuff in here. Well worth taking a couple of minutes to sign up for.