Analytics

All Indian Reprints of O'Reilly are printed in Grayscale We're building more products today than ever before, but most of them fail--not because we can't complete what we want to build but because we waste time, money, and effort building the wrong product. What we need is a systematic process for quickly vetting product ideas and raising our odds of success. That's the promise of Running Lean. In this inspiring book, Ash Maurya takes you through an exacting strategy for achieving product/market fit for your fledgling venture. You'll learn ideas and concepts from several innovative methodologies, including the Lean Startup, business model design, design thinking, and Jobs-to-be-Done. This new edition introduces the continuous innovation framework and follows one entrepreneur's journey from initial vision to a business model that works. Deconstruct your idea using a one-page Lean Canvas Stress-test your idea for desirability, viability, and feasibility Define key milestones charted on a traction roadmap Maximize your team's efforts for speed, learning, and focus Prioritize the right actions at the right time Learn how to conduct effective customer interviews Engage your customers throughout the development cycle Continually test your product with smaller, faster iterations Find a repeatable and scalable business model

All Indian Reprints of O'Reilly are printed in Grayscale Data analytics may seem daunting, but if you're an experienced Excel user, you have a unique head start. With this hands-on guide, intermediate Excel users will gain a solid understanding of analytics and the data stack. By the time you complete this book, you'll be able to conduct exploratory data analysis and hypothesis testing using a programming language. Exploring and testing relationships are core to analytics. By using the tools and frameworks in this book, you'll be well positioned to continue learning more advanced data analysis techniques. 

About the Book This description may be from another edition of this product. John J. Murphy has now updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. "If one could read only one book on technical analysis, this should be the one." --Knight-Ridder Financial Products and News (on the first edition, Technical Analysis of the Futures Markets, 0-13-898008-X) This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior. "One way to get started in technical analysis is to read a good book on the subject. One of my favorites is Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications by John J. Murphy. It's an easy read." Ralph J. Acampora, CMT, Managing Director, Prudential Securities Inc.  

All Indian Reprints of O'Reilly are printed in Grayscale Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading.

The book is meant for a wide-spectrum of readership-empirical scientists, consultants, technocrats, advertisers, researchers and students learning Data Science for conducting small replicated or non-replicated experiments / demonstrations.

Does your startup rely on social network analysis? This concise guide provides a statistical framework to help you identify social processes hidden among the tons of data now available. Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas. Discover how internal social networks affect a company’s ability to perform Follow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprising Learn how a single special-interest group can control the outcome of a national election Examine relationships between companies through investment networks and shared boards of directors Delve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook About the Authors Maksim Tsvetovat is an interdisciplinary scientist, a software engineer, and a jazz musician. He has received his doctorate from Carnegie Mellon University in the field of Computation, Organizations and Society, concentrating on computational modeling of evolution of social networks, diffusion of information and attitudes, and emergence of collective intelligence. Currently, he teaches social network analysis at George Mason University. He is also a co-founder of DeepMile Networks, a startup company concentrating on mapping influence in social media. Maksim also teaches executive seminars in social network analysis, including "Social Networks for Startups" and"Understanding Social Media for Decisionmakers". Alex Kouznetsov is an open-source software developer. He has developed a number of social network analysis tools for the industry, from large-scale data collection to online analysis and presentation tools.

Fundamentals of Business analytics using Excel and R meets multiple requirements of Post graduate class room preparation and their placement preparation. Though the primary focus of this book is to help post graduate students build important excel concepts and clear understanding of R...

All Indian Reprints of O'Reilly are printed in Grayscale Whether you’re a startup founder trying todisrupt an industry or an intrapreneur trying to provoke change from within,your biggest challenge is creating a product people actually want. LeanAnalytics steers you in the right direction.

Satchidanand Pradhan is a Technical Analyst and an active full-time trader. Having completed his graduation in the pharmaceutical sciences from Mumbai University, he started his career in the pharma industry.  Hemant Kale is a Technical Analyst and a Financial Planner. He completed his graduation in Commerce from Sydenham College in Mumbai. His academic career was very bright having been a Mumbai University rank holder.  Dr. Shrirang Joshi is a Technical Analyst and a Psychiatrist. He graduated in medicine and specialized in Psychiatry from Grant Medical College in Mumbai. He is practicing Psychiatrist and a Lecturer in Psychology.