This title shows what criteria admissions committees use to evaluate applicants, their qualifications, and how to showcase their talents in personal essays, letters of recommendations, and preselection interviews.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    Haven’t we all? It’s for this reason that I decided to write this book. What better way to break that silence than to throw out some of these facts: Wolves have a serious appetite! They can eat up to twenty pounds of meat in one sitting! The first high heeled shoes were worn by Egyptian butchers to help them walk above the bloodied bodies of animal carcasses. The vintage date on a bottle of wine indicates the year the grapes were harvested, not the year of bottling Your mouth produces about one liter of saliva each day. Greece has more archaeological museums than any other country in the world. Whatever your motivation may be, there’s a really good chance you’ll find these facts and tidbits useful. So if you’re ready, here are 1,000 random facts that everyone should know !

    There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's Principles of Statistics, originally published in 1965, was created to fill that need. The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available once again for the classroom or for self-study.Principles of Statistics was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc. The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression, and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book. Also included are a number of statistical tables and selected references.

    

    The topics covered in the exam include: network security, security management, systems development, cryptography, disaster recovery, law, and physical security. CISSP For Dummies, 3rd Edition is the bestselling guide that covers the CISSP exam and helps prepare those wanting to take this security exam. The 3rd Edition features 200 additional pages of new content to provide thorough coverage and reflect changes to the exam. Written by security experts and well-known Dummies authors, Peter Gregory and Larry Miller, this book is the perfect, no-nonsense guide to the CISSP certification, offering test-taking tips, resources, and self-assessment tools.Fully updated with 200 pages of new content for more thorough coverage and to reflect all exam changesSecurity experts Peter Gregory and Larry Miller bring practical real-world security expertiseCD-ROM includes hundreds of randomly generated test questions for readers to practice taking the test with both timed and untimed versions"CISSP For Dummies, 3rd Edition" can lead you down the rough road to certification successNote: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

    even a small sample begins to give you the idea that this is a math book unlike any other. Ranging freely from exponents to light-years to numbers found in nature, this smorgasbord of math concepts and trivia makes a perfect classroom companion or gift book for the budding young mathematician at home. Even the most reluctant math student will be drawn in by the author's trademark wit, Marissa Moss's quirky illustrations and funny captions, and the answers revealed in W is for " When are we ever gonna use this stuff, anyway?" Download the G is for Googol Teacher's Guide(300K)

    Each sketch contains Questions and Projects to help you learn more about its topic and to see how its main ideas fit into the bigger picture of history. The 25 short stories are preceded by a 56-page bird's-eye overview of the entire panorama of mathematical history, a whirlwind tour of the most important people, events, and trends that shaped the mathematics we know today. Reading suggestions after each sketch provide starting points for readers who want to pursue a topic further."

     ...but what the salvage crew finds on their mission will change their lives forever. Colonel Tucker Petersen, retired five years from the military, is suddenly recalled to active duty and is put in charge of the Salvage-5 mining/recovery mission.Four previous civilian salvage missions have gone missing from the Kirkwood Gap. Tucker is sent, with his crew of eight, to discover what went wrong with the Self-contained mining dredge, the Euna-1, at Asteroid 15 Eunomia... Find out what discoveries are waiting for the crew of Salvage-5. ˃˃˃ Join Colonel Tucker Petersen, and the crew of Salvage-5, for this new Techno Thriller ˃˃˃ This will be sure to keep you biting your nails and on the edge of your seat. Scroll up and grab a copy today.

    An Absolutely No-Fluff guide to Unusual Social Media Marketing Strategies You have always wondered how some companies have made it big on social media and if you could do the same??Imagine if you could get your hands on all the behind-the-scene tactics employed by the successful brands..well, you don't have to imagine anymore...here's the answer;Unusually Effective: 25 Unusual yet Effective Social Media Marketing Strategies for Creating an Irresistible brand, Ultimate Business Growth and Massive Profits.Social Media Marketing is becoming a necessity, for a Small Business Enterprise and also for the large Corporate Mammoths...It is the easiest and fastest way to relay advertising and marketing products and services to your target market...And this book provides you the...Unfair Edge.The book is divided into 6 parts: # General Strategies # Video Strategies # Image Strategies # Hashtag Strategies # Facebook Strategies # Twitter StrategiesEnjoy 'Unusually Effective' and make your business achieve Mind Blowing Social Media Success

    She's never heard of the world's most fashionable magazine, or its feared and fawned-over editor, Miranda Priestly: her new boss. A year later, she knows altogether too much. But this is her big break, and it's going to be worth it in the end. Isn't it?REVENGE WEARS PRADA catches up with Andrea and Miranda ten years later. Andrea is now a successful magazine editor of her own title, and is about to get married. She’s been careful to steer clear of her ex-boss, Miranda Priestly, but her luck is just about to run out. The devil is back…

    The book's conceptual presentation focuses on ADTs and the analysis of algorithms for efficiency, with a particular concentration on performance and running time. The second edition contains a new chapter that examines advanced data structures such as red black trees, top down splay trees, treaps, k-d trees, and pairing heaps among others. All code examples now conform to ANSI C and coverage of the formal proofs underpinning several key data structures has been strengthened.

    If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to:Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.