Starting a new thread, just to talk about resources.
I wrote an article for the Predictive Analytics & Futurism section at the SOA. It starts on page 14 in the December 2015 newsletter:
http://ift.tt/1S7iZVY
(warning: SOA link, so it will download the file)
For convenience, here are the links to the resources:
BOOKS
STATISTICS (THE EASIER WAY) WITH R BY NICOLE RADZIWILL
Weblinks Free preview: https://qualityandinnovation.files.w...hr_preview.pdf
Amazon link for book: http://amzn.to/1URjyQD
Languages/Topics: R and Introductory statistics—confidence intervals, regression,
and statistical inference
Level: Absolute beginner
(I am high school buddies with Nicole -- if you're an academic teaching R/intro stats, message me. I can get you a free e-copy of the book)
--------------------------
DATA SCIENCE FROM SCRATCH: FIRST PRINCIPLES WITH PYTHON BY JOEL GRUS
Weblinks: Joel’s site: http://joelgrus.com/
Amazon link for book: http://amzn.to/1URkqoA
Languages/Topics: Overview of multiple data analysis techniques, Python, SQL
Level: Beginner
(I am also friends with Joel)
------------------------------
AN INTRODUCTION TO STATISTICAL LEARNING WITH APPLICATIONS IN R, BY GARETH
JAMES, DANIELA WITTEN, TREVOR HASTIE, AND ROBERT TIBSHIRANI
Weblinks: Book’s website: http://ift.tt/1cVO8XA
Amazon link: http://amzn.to/1URmvAL
Online videos (free!): http://ift.tt/1Z9sXFv
Languages/Topics: More rigorous approach to statistical inference/modeling
techniques, R
Level: Intermediate
(I am not friends with the authors... yet)
--------------------------------------------
ONLINE COURSES
DATACAMP
Website: http://ift.tt/1eBevkU
Languages/Topics: R and data science in general
Level: Absolute beginner to intermediate
Timing: On-demand, very short lessons
Paid features: Access to all courses, statement of completion
Credentials: Statement of completion
UDACITY
Website: http://ift.tt/XG4gAq
Languages/Topics: Data analysis, R, Python, SQL, Hadoop, (and much, much more)
Level: Beginner to advanced
Timing: On-demand, usually takes a few months for a full course (some
mini-classes are shorter). Nanodegree and regular degree
programs are on a schedule
Paid features: Monthly charge for access to coaches, projects with ongoing
feedback, verified certificates and degrees (normal and nano-)
Credentials: Verified certificates, Georgia Tech MS in Computer Science,
coming soon: nanodegrees
COURSERA
Website: http://ift.tt/xSalqJ
Languages/Topics: So very much!
Level: Beginner to advanced
Timing: Most on specific schedules, 4-week to semester-long courses; a
very few are on-demand
Paid features: Certifications (see below)
Credentials: Signature Track credential, Specialization certificates from
sponsoring universities
I wrote an article for the Predictive Analytics & Futurism section at the SOA. It starts on page 14 in the December 2015 newsletter:
http://ift.tt/1S7iZVY
(warning: SOA link, so it will download the file)
For convenience, here are the links to the resources:
BOOKS
STATISTICS (THE EASIER WAY) WITH R BY NICOLE RADZIWILL
Weblinks Free preview: https://qualityandinnovation.files.w...hr_preview.pdf
Amazon link for book: http://amzn.to/1URjyQD
Languages/Topics: R and Introductory statistics—confidence intervals, regression,
and statistical inference
Level: Absolute beginner
(I am high school buddies with Nicole -- if you're an academic teaching R/intro stats, message me. I can get you a free e-copy of the book)
--------------------------
DATA SCIENCE FROM SCRATCH: FIRST PRINCIPLES WITH PYTHON BY JOEL GRUS
Weblinks: Joel’s site: http://joelgrus.com/
Amazon link for book: http://amzn.to/1URkqoA
Languages/Topics: Overview of multiple data analysis techniques, Python, SQL
Level: Beginner
(I am also friends with Joel)
------------------------------
AN INTRODUCTION TO STATISTICAL LEARNING WITH APPLICATIONS IN R, BY GARETH
JAMES, DANIELA WITTEN, TREVOR HASTIE, AND ROBERT TIBSHIRANI
Weblinks: Book’s website: http://ift.tt/1cVO8XA
Amazon link: http://amzn.to/1URmvAL
Online videos (free!): http://ift.tt/1Z9sXFv
Languages/Topics: More rigorous approach to statistical inference/modeling
techniques, R
Level: Intermediate
(I am not friends with the authors... yet)
--------------------------------------------
ONLINE COURSES
DATACAMP
Website: http://ift.tt/1eBevkU
Languages/Topics: R and data science in general
Level: Absolute beginner to intermediate
Timing: On-demand, very short lessons
Paid features: Access to all courses, statement of completion
Credentials: Statement of completion
UDACITY
Website: http://ift.tt/XG4gAq
Languages/Topics: Data analysis, R, Python, SQL, Hadoop, (and much, much more)
Level: Beginner to advanced
Timing: On-demand, usually takes a few months for a full course (some
mini-classes are shorter). Nanodegree and regular degree
programs are on a schedule
Paid features: Monthly charge for access to coaches, projects with ongoing
feedback, verified certificates and degrees (normal and nano-)
Credentials: Verified certificates, Georgia Tech MS in Computer Science,
coming soon: nanodegrees
COURSERA
Website: http://ift.tt/xSalqJ
Languages/Topics: So very much!
Level: Beginner to advanced
Timing: Most on specific schedules, 4-week to semester-long courses; a
very few are on-demand
Paid features: Certifications (see below)
Credentials: Signature Track credential, Specialization certificates from
sponsoring universities
Getting Started with Predictive Analytics