Self Learning of Data Science for Free: Skill Development for Data Science Jobs - Softcover

Roy, Prof Ajit Kumar

Softcover

ISBN 10: 153015071X ISBN 13: 9781530150717

Publisher: CreateSpace Independent Publishing Platform, 2016

Synopsis

The amount of data currently generated by the various activities of the society has never been so big, and is being generated in an ever increasing speed. This trend is being seen by industries as a way of obtaining advantage over their competitors if one business is able to make sense of the information contained in the data reasonably quicker, it will be able to get more costumers, increase the revenue per customer, optimise its operation, and reduce its costs. Big Data analytics is still a challenging and time demanding task that requires expensive software, large computational infrastructure, and effort. Data is the new basis of competitive advantage. Enterprises that use data and sophisticated analytics turn insight into innovation, creating efficient new business processes, informing strategic decision making and outpacing their peers on a variety of fronts. Successful data scientists come from a number of different disciplines: biostatistics, econometrics, engineering, computer science, physics, applied mathematics, statistics, machine learning, and other interrelated disciplines. Experience of applying the scientific method to many disciplines and areas of research will prove fruitful in the field of data science. This book is a very basic introduction to data science. It is designed particularly for the beginners having the aptitude to learn and pursue careers in the emerging Data Science. The main emphasis of this book to help students think about the world in data science terms and learn taking advantage of free online web resources. While some elementary data science skills will be appraised, the emphasis is on skill development through self learning. Because skills are a must for data science. Data science, as practiced today, arises out of the "big data/cloud computing" world and complexity science. This means data science is an advanced discipline, requiring proficiency in parallel processing, map-reduce, computing, petabyte-sized noSQL databases, machine learning, advanced statistics and complexity science. I believe that data science is as much about mindset as it is about the skillful use of tools. Thus I want the students early in their careers to start thinking holistically about data science and related tools and techniques. There are many concepts and skills that a practical data scientist needs to know besides the fundamental principles of data science. These skills and concepts will be discussed in order to take advantage of free online data Science tutotials, courses, bootcamps, videos, blogposts, podcasts etc. This book 'Self Learning of Data Science for Free' is perfect for aspiring or current data scientists to learn from the best. It s a reference book packed full of strategies, suggestions and recipes to launch and grow your own data science career.

About this title

About the Author

Award winning Key Note Speaker at International Level,Professor Ajit Kumar Roy is an acclaimed researcher and consultant. Prof. Roy obtained his M.Sc.degree in Statistics and joined Agricultural Research Service (ARS) of ICAR as a Scientist (Statistics) in 1976. In recent past was engaged as National Consultant (Impact Assessment) for East & North Eastern States of India at National Agricultural Innovation Project(World Bank funded) of ICAR. Prior to that he was Consultant (Statistics) at Central Agricultural University, Agartala. Served at CIFA, ICAR, as Principal Scientist was involved in R & D activities in ICT, Statistics, Bioinformatics and Economics. At International level he served as a Computer Specialist at SAARC Agricultural Information Centre (SAIC), Dhaka, Bangladesh for over 3years. He has successfully organized many workshops  at National and International level. 
 The author has more than 45 years of experience in Statistical Analysis, Analytics and information management. He has edited eighteen books and several conference proceedings covering the areas of statistics, bioinformatics,economics and ICT applications inaquaculture/fisheries/agriculture. His recent best-sellers are 'Applied BigData Analytics'; 'Impact of Big Data Analytics on Business, Economy, Health Care and Society'; 'Self Learning of Bioinformatics  Online'; 'Applied  Bioinformatics,Statistics and Economics in Fisheries Research' and 'Applied Computational Biology and Statistics in Biotechnology and Bioinformatics'.Presently visiting Professor,question setter and examiner of four Indian Universities. He has vast experience in Statistical consulting, guidance and Analytics.   He is widely recognizedas an expert research scientist, teacher, author, hands-on leader inadvanced analytics. 

From the Back Cover

Getting started in the exciting field of data science can be a bit overwhelming. Thereare so many new tools, ground breaking applications and innovative ways to explore data that even experts in the field do not have it all figured out. But for budding data scientists, understanding this complex field may be just a few clicks away. The book provides a brief,understandable, user-friendly guide to all aspects of Data Science along with links to free educational sites. The author address the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field.Data science is a hot and growing field. In this book, one will be approaching data science from scratch. The book does not presume sophisticated mathematical background. However, by its very nature the materials somewhat technical the goal is to impart a significant understanding of data science. Data Scientist' is one of the most important future STEM jobs. Theyneed to have expertise in new technologies that help manage large datasets.These technologies and concepts include MapReduce, NoSQL databases, MongoDB,SQL, Hadoop, Storm, etc.Focussing on Young Data Scientist inspires learners to take up Data Science giving them a head start tofuture careers and jobs. They can learn a lot going through the following links. ØHow to Become a Data Scientist for FreeØThe Open Source Data Science MastersØMost Required Skills for a DataScientistØSelf Learning of skill to become a gooddata ScientistØFree Books, Videos, Blog Posts,Vodcasts, Twitter & Infografic, YouTube, Amazon WebServices andfree trainingsto become a Data Scientist Ø Self StarterWayØThe Best Free CoursesØMostSought After Skills Employers Are Looking For Data Scientist PositionsØData Scientist Education RequirementsØData Scientist Training Programs Thefollowing comments by the industry experts may indicate the future job prospect& salary aspects of the data ScientistsØ Datascientist has been called "the sexiest job of the 21st century," ØData Scientists are the new Kings of theSilicon Valley!ØBig Data: Career Opportunities Abound inTech's Hottest Field.ØThe Hottest Jobs in IT: Training Tomorrow'sData Scientists.- ForbesØ People with data analysisskills are in demand and demand is growing. By 2018 there will be a talentgap" of between 140,000-190,000 people, says the McKinsey Global Institute(in the U.S.).Ø WinterWyman'sreported seeing a "300% increase in demand for data scientists and engineers"'SelfLearning of Data Science for Free' isan ideal read for budding data scientists who are just getting started in the field.This book will lead you to see throughthe popular hype around "big data," and it will give you the knowledge andinsights you need to hit the ground running in this fast-growing field.,Consider this an essential reading list for the aspiring data scientist.Perfect for new data scientists. The book will be quite useful for preparing tointerview data science job candidates. The demand from business for hiring datascientists is strong and increasing. Every data science job seeking candidateshould understand the fundamentals presented in this book.

Edition details

• Publisher: CreateSpace Independent Publishing Platform
• Publication date: 2016
• Language: English
• ISBN 10: 153015071X
• ISBN 13: 9781530150717
• Binding: Paperback
• Number of pages: 102