Sangeeta Apr 26, 2015 No Comments
This is a great book to start with understanding how metrics are used for branding, using the success story of Facebook.
It gives an insight into the profession of a Business Analyst and walks you through the process of launching your career in Business Analytics.
This edition is a simple applications-oriented introduction to multivariate analysis, for the non-statistician.
The book covers the fundamentals of data structure and algorithms design.
This is an introductory book to advanced text mining techniques.
This book provides an overview of Big Data reality and how to unlock its potential.
A useful resource of statistical tools meant for researchers.
The book is an introduction to data warehousing and data mining.
It explains how to execute computationally intensive analyses on very large data sets, create and debug statistical models, and how to run an analysis and check the results.
The book lays the foundations of data mining and analysis, integrating related concepts from machine learning and statistics with an algorithmic perspective. It makes use of examples, covers core methods and cutting-edge research.
This highlights important inbound marketing metrics for data-driven decision making, for optimised marketing. It also tells you how to analyse the most important marketing channels.
The eBook explores data analytics and social business in the context of Big Data.
It describes the mathematical foundations and practical application of Gaussian processes, and how to apply Gaussian process methods to solve a range of problems.