Project Management

Become familiar with the key concepts of fundamental analysis and learn how to put them into action in the real world Fundamental Analysis For Dummies  is a valuable guide for investors who want to know the future. Okay, it’s not a crystal ball, but fundamental analysis will help you gain insight into a company’s staying power, as you evaluate revenue, expenses, assets, liabilities, competitors, management, interest rates, and other key business details. This Dummies resource makes it easy to get a handle on the underlying forces that affect the well-being of the economy, industry groups, and companies. You’ll explore the tools and strategies of fundamental analysis, and you’ll get easy-to-follow examples of how they’re used in relation to stock and commodity investing. This latest edition is fully updated with coverage of today’s investment landscape.

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in RapidMiner  provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification,    visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques.

Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information.

Galit Shmueli, PhD,  is Distinguished Professor and Institute Director at National Tsing Hua University’s Institute of Service Science. She has designed and instructed business analytics courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Peter C. Bruce,  is Founder of the Institute for Statistics Education at Statistics.com, and Chief Learning Officer at Elder Research, Inc. Kuber Deokar  is the Lead Instructional Operations Supervisor in Data Science at UpThink Experts, India. He is also a Faculty member at Statistics.com. Nitin R. Patel, PhD,  is cofounder and lead researcher at Cytel Inc. He was also a co-founder of Tata Consultancy Services. A Fellow of the American Statistical Association, Dr. Patel has served as a visiting professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad, for 15 years.

In  Software Transparency: Supply Chain Security in an Era of a Software-Driven Society,  a team of veteran information security professionals delivers an expert treatment of software supply chain security. In the book, you’ll explore real-world examples and guidance on how to defend your own organization against internal and external attacks. It includes coverage of topics including the history of the software transparency movement, software bills of materials, and high assurance attestations.

Description This book shows how to install IBM Cognos Analytics software and related systems on RedHat Enterprise Linux 8.0, IBM Cloud, IBM Cloud Private (Community Edition), and Windows 10. It includes step-by-step instructions for downloading and installing IBM Cognos Analytics. It also includes numerous examples of setups and updates to analyze the OLAP database utilized by the IBM Case Manager.

David M. Levine  and  David F. Stephan  are part of a writing team known for their series of business statistics textbooks that include  Basic Business Statistics, Business Statistics: A First Course, and Statistics for Managers Using Microsoft Excel . In long teaching careers at Baruch College, both were known for their classroom innovations, with Levine being honored with a Presidential Excellence Award for Distinguished Teaching Award and Stephan granted the privilege to design and develop the College’s first computer-based classroom. Both are active members of the Data, Analytics and Statistics Instruction SIG of the Decision Sciences Institute.

Jack Widman’s path to software engineering took a circuitous route. Majoring in Latin in college and studying Roman and Ancient Greek Literature, Philosophy and Music, he then became enamored of Mathematics. Learning, on his own, enough to get into grad school, Jack then completed a Ph.D. in Mathematics at Wesleyan University in Middletown, CT. While there, he learned about programming languages and writing code.

The Banking Industry Architecture Network (BIAN) is a global, not-for-profit association of banks, solution providers, consultancy companies, integrators and academic partners, with the shared aim of defining a semantic standard for the banking industry covering all banking activity and almost all of the well-known architectural layers.

Mike Griffiths is an award-winning trainer, consultant, author, and thought leader in agile and project management. Mike helped create the agile approach DSDM and served on the board of the Agile Alliance. He has contributed to several aditions of A Guide to the Project Management body of Knowledge  (PMBOK® Guide) and was colead on the  PMBOK® Guide, Seventh Edition.

Most people use social media on a daily basis for personal reasons but more and more, savvy project managers are incorporating these tools into their projects to collaborate and communicate more efficiently.

s companies evolve to adopt, integrate, and leverage software as the defining element of their success in the 21st century, a rash of processes and methodologies are vying for their product teams' attention.