Systems Analysis & Design

This small handy booklet has two- fold purpose : a. Mitigate the fear of statistics from the mind of beginners in the field of data analytics and research scholars of PhD who do not have background of statistics. It serves as comprehensive class note on statistics for them. b. Build the confidence of data scientists who extensively use the software packages for analysis of data as black boxes but do not have insight of how data crunching is done by the software, how type of statistical tests are selected , level of significance is fixed , how hypothesis is framed ,how statistical test are carried out in step-by-step manner and most importantly how interpretation of test outcomes are made. The basic philosophy of authors behind the book has been “ How to get more from less you read and more you read much more you get. About the Author Professor N. C. Das has been former Professor-cum-Chief Scientist at the Department of Statistics and Computer Science, Birsa Agricultural University, Ranchi, India. He has over six decades of teaching- and research-experience in the field of Statistical Inference, Design of Experiments, Operations Research and Computer Science. Data-based modelling for prediction has been integral part of above disciplines. These are now essential components of Data Science. It is natural therefore that he is drawn to simple model fitting to data for making prediction and its goodness of fit. To the same an acronym has been given SLIM & GUD-FIT for brevity, for other book has authored. He intensively devoted his time in advising and guiding a wide-spectrum of students, doctoral- and post doctoral –scholars and research specialists from various institutions, corporate organizations, core-sector industrial outfits and various consulting bodies on statistical aspects of research problems. He, as a Research Fellow of the International Development Agency at I.I.T. Kharagpur, had developed software BIVNOR which was required to be applied successfully for solving long aspired and much awaited problem of “Bivariate Joint Chance-Constrained Programming”. Later it was found to be of much wider use which culminated in publication of his monograph entitled “Decision Processes by Using Bivariate Normal Quantile Pairs” by Springer (2015). The said text also offers high probability joint confidence intervals to the much aspired measure (MAM) of Higgs Boson's particle, popularly called God particle, in case BEC (the magnitude of Bose-Einstein Correlation) is made available. According to World Cat the book by now has reached more than 283, amongst its more than 580 member libraries around the Globe, which according to them is considered fairly large acquisitions for such class of book-titles.  He remained Academic Secretary-cum-Editor of the Bihar Journal of Mathematics during 1994-1998 and is currently, as well as, the Founder President , Jharkhand Society of Mathematical Sciences: Ranchi. Dr. Mukesh Ranjan Das is Executive Director in one of the leading fortune 500 companies. He has acquired PhD in Management from IIT, Dhanbad in the area of Competency modelling. He graduated in Mechanical Engineering from B.I.T Mesra, Ranchi and later pursued PGCHRM from XLRI, Jamshedpur. He has published three research papers in Journals of repute and is serving as editorial board member of New York based journal "Humanities and Social Science'. He also serves in editorial board of "HR Vista" a quarterly digital journal of Oil Industry of India. He is also proud and blessed son of first author Professor N.C.Das.

All Indian Reprints of O'Reilly are printed in Grayscale Site reliability engineering (SRE) is more relevant than ever. Knowing how to keepsystems reliable has become a critical skill. With this practical book, newcomers and old hatsalike will explore a broad range of conversations happening in SRE. You'll get actionable adviceon several topics, including how to adopt SRE, why SLOs matter, when you need to upgradeyour incident response, and how monitoring and observability differ.