Our friends over at DataCamp have produced the “Become a Data Scientist in 8 Steps” infographic providing a view of the eight steps that you need to to through to learn data science. Some of these eight steps will be easier for some than for others, depending on background and personal experience, among other factors.
With the continued upward trajectory of interest in getting on board with a data science career, our friends over at Simplilearn Solutions put together the compelling infographic below.
Last year, I wrote a review of a useful book that got students up to speed with a key mathematical ingredient of machine learning – linear algebra: The Manga Guide to Linear Algebra. No Starch Press (an excellent source of technical books) just came out with a follow-up title: The Manga Guide to Regression Analysis.
A fantastic new book just landed on my desk, “The Book of R: A First Course in Programming and Statistics” by Tilman M. Davies from No Starch Press. I’ve been looking for a book like this for some time – to use with the introductory data science and machine learning course I teach.
Our friends over at Boston University’s Master of Science in Computer Information Systems Online Program put together the compelling infographic below that highlights why Business Intelligence (BI) is the key to competitive advantage for enterprises today.
The video presentation below captures the highlights of the all-day data-driven storytelling event produced by DataScience, Inc. and the National Science Foundation (NSF)’s West Big Data Innovation Hub.
Qlik® (NASDAQ: QLIK), a leader in visual analytics, today announced the expansion of the Qlik Academic Program with its new Data Analytics Curriculum.
The compelling infographic below from our friends at NJIT shows just how much big data matters, and that there’s no question that the current trends moving into the future suggest that this will only continue.
In this book review, I take a close look at the 5th edition of “Introduction to Linear Algebra” (Wellesley-Cambridge Press) by MIT mathematics professor Gilbert Strang. This book is a must-have for any serious data scientist.
In this special guest feature, PK Agarwal, Regional Dean and CEO at Northeastern University-Silicon Valley, discusses the need to train new data scientists, and the value of continuing education for those already employed in the field.