Earlier this month, IBM Press and Pearson have published my book titled: Getting Started with Data Science: Making Sense of Data with Analytics. You can download sample pages, including a complete chapter. There are 104 pages in the sample. You can also watch a brief interview about the book recorded earlier at the IBM Insight2015 Conference.
The very purpose of authoring this book was to rethink the way we have been teaching statistics and analytics to students and practitioners. It is no secret that most students required to take the mandatory stats course dislike it. I believe it has something to do with the way we have been teaching the subject than to do with the aptitude of our students. Furthermore, I believe there is a greater opportunity to equip the students with the skills needed in a world awash with data where competing on analytics defines the real competitive advantage.
No wonder, the latest issue of the leading publication on the subject, The American Statistician, is dedicated to reimagining how statistics should be taught in the undergraduate curriculum. The editors noted:
“We hope that this collection of articles as well as the online discussion provide useful fodder for further review, assessment, and continuous improvement of the undergraduate statistics curriculum that will allow the next generation to take a leadership role by making decisions using data in the increasingly complex world that they will inhabit.”
I am confident that my book will do its small part in equipping the next generation of students with the kind of skills needed to succeed in a data-centric world. For one, I have taken a storytelling approach to statistics. This book reinforces the point that data science and analytics training should be applied rather than theoretical, and the ultimate purpose of producing or consuming statistical analysis is to …read more
Source:: r-bloggers.com