Financial & Accounting jargon is used only where it is required and they are well explained.This book will enable you take business decisions with financial prudence.

    

    There are crops to plant and harvest, and animals to feed. There is the daily grind of life after a viral apocalypse where things they used to take for granted, like food, water, and safety, are no longer a given, especially with predators prowling at the perimeter of the farm. It is two against the world, and all they have is each other.

    YouTube : I Invented You Tube is the true story of how Eric Skaggs gave Chad Hurley the idea for YouTube from domain name to exit strategy and everything else in between in exchange for a promise of one percent of $1.65 billion.

    This is frustrating if we are afraid to follow up with prospects. What can we do to make our follow-up efforts effective and rejection-free? How do we maintain posture with skeptical prospects? What can we say to turn simple objections into easy decisions for our prospects?Procrastination stops and fear evaporates when we have the correct follow-up skills. No more dreading the telephone. Prospects will return our telephone calls. And now, we can look forward to easy, bonded conversations with prospects who love us. Prospects want a better life. They are desperately searching for: 1. Someone to follow. 2. Someone who knows where they are going. 3. Someone who has the skills to get there. We have the opportunity to be that guiding light for our prospects.When we give our prospects instant confidence, contacting our prospects again becomes fun, both for the prospects and for us. Don’t we both want a pleasant experience?Don’t lose all those prospects that didn’t join on your first contact. Help reassure them that you and your opportunity can make a difference in their lives.Use the techniques in this book to move your prospects forward from "Not Now" to "Right Now!" Scroll up and order your copy now!

    Peter Hinssen's most recent book

    It features a wealth of new material, including how to make the most of Web casts and remote demonstrations, how to give impressive snap demonstrations, and how to use CRM/SFA systems effectively.

    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

    You will learn:- How to get your website on the first page of Google- How to get your website showing up multiple times on the first page (one of my websites shows up 6 in the first 7 results!!)- The 3 'Dirty Secrets' that expensive SEO (Search Engine Optimisation) Experts don't want you to know- What you can do for the price of 2 ½ cups of coffee that could have your website ranking top in as little as a day (I have done exactly this and I’ll show you how)- The small things you can do to make a BIG difference- How to analyse your online competition and find their weaknesses- How to pull off the famous ‘Google Leapfrog’- What the recent Google changes mean for people using pre-April 2012 strategies – and it’s not good news!- How to make people click on your website even if it shows up below your competitors!- How to avoid the deadly mistakes that can lead to Google removing your site from the listings- How to survive and thrive post-PenguinWhat most people don't understand is that once you know what to do, it's actually extremely straightforward to rank highly in Google. But there's a lot of misinformation and misunderstanding out there.Tim Kitchen is a Search Engine ranking expert and online business owner currently personally in charge of SEO for over 50 businesses as well as his own businesses in some incredibly competitive markets. He also regularly teaches SEO to more than 2,000 small business owners through his books, courses and videos.In this updated version of the book he shares everything he has learnt from the past 7 years of getting websites to the top of Google.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    

    You’ll learn how to combine social web data, analysis techniques, and visualization to find what you’ve been looking for in the social haystack—as well as useful information you didn’t know existed.Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools.Get a straightforward synopsis of the social web landscapeUse adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, LinkedIn, and Google+Learn how to employ easy-to-use Python tools to slice and dice the data you collectExplore social connections in microformats with the XHTML Friends NetworkApply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detectionBuild interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits"A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

    When we listen, we can notice that there are seven main lessons he encourages for people to learn. By learning and implementing these lessons and habits into your everyday life, you can increase your likelihood of achieving your goals and manifesting your dreams into reality. These habits work in both your personal life, as well as your career life, and will assist you in making the most of any opportunity. It is important to realize that you must work simultaneously on your personal and business lives to achieve success in either, because as Anthony says: “Success without fulfillment is failure.” You cannot truly succeed in one, if you are unhappy and failing within’ the other.

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    Rajesh Soin is the epitome of Indian-American success. He is an inspiring figure, much honored and much-touted when it comes to entrepreneurial vision and success. He is well-known as the founder of Modern Technologies Corporation (MTC), a billion-dollar company, which he started with a capital of $1700.He grew up in straitened circumstances. In his childhood, he faced a devastating tragedy. He arrived in America with only 75 cents in his pocket and no place to stay. When he started college, he had to subsist on $30 for a whole month, and in grad school, he got robbed at gunpoint.When he started his company, there was a time when all his credit cards were maxed out to make payroll, and his finances were in dire straits. At a point in his professional life, he was so down that he felt like he was done for.But Dr. Soin fought all this and emerged a winner in life. Today, he has multiple companies in his portfolio, an enviable net worth, and investments all around the globe. He is a brand in himself, having many schools, colleges, and hospitals named after him, and being the recipient of so many business and philanthropic awards. But every success has its price. Everybody tends to see the shining part, overlooking the darker side, which has so much sweat, blood, hard work, perseverance, insecurities, and failures. In this book, we have covered Dr. Soin’s journey from ordinariness to extraordinariness. How does he see the world? What is his vision? What are his aspirations? You will get all the answers in this book, and in this process, you may find a new perspective on life too.