Sql For Dummies

Author: Allen G. Taylor
Publisher: John Wiley & Sons
ISBN: 111865711X
Size: 60.98 MB
Format: PDF, ePub, Docs
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Uncover the secrets of SQL and start building better relational databases today! This fun and friendly guide will help you demystify database management systems so you can create more powerful databases and access information with ease. Updated for the latest SQL functionality, SQL For Dummies, 8th Edition covers the core SQL language and shows you how to use SQL to structure a DBMS, implement a database design, secure your data, and retrieve information when you need it. Includes new enhancements of SQL:2011, including temporal data functionality which allows you to set valid times for transactions to occur and helps prevent database corruption Covers creating, accessing, manipulating, maintaining, and storing information in relational database management systems like Access, Oracle, SQL Server, and MySQL Provides tips for keeping your data safe from theft, accidental or malicious corruption, or loss due to equipment failures and advice on eliminating errors in your work Don't be daunted by database development anymore - get SQL For Dummies, 8th Edition, and you'll be on your way to SQL stardom.

Microsoft Excel Data Analysis And Business Modeling

Author: Wayne Winston
Publisher: Microsoft Press
ISBN: 1509304223
Size: 57.93 MB
Format: PDF
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Master business modeling and analysis techniques with Microsoft Excel 2016, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands on, scenario-focused guide helps you use Excel’s newest tools to ask the right questions and get accurate, actionable answers. This edition adds 150+ new problems with solutions, plus a chapter of basic spreadsheet models to make sure you’re fully up to speed. Solve real business problems with Excel–and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Summarize data by using PivotTables and Descriptive Statistics Use Excel trend curves, multiple regression, and exponential smoothing Master advanced functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Leverage the new charts in Excel 2016 (including box and whisker and waterfall charts) Make charts more effective by using Power View Tame complex optimizations by using Excel Solver Run Monte Carlo simulations on stock prices and bidding models Work with the AGGREGATE function and table slicers Create PivotTables from data in different worksheets or workbooks Learn about basic probability and Bayes’ Theorem Automate repetitive tasks by using macros

Excel Vba Programming For Dummies

Author: John Walkenbach
Publisher: John Wiley & Sons
ISBN: 1119077443
Size: 48.46 MB
Format: PDF, ePub, Mobi
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Take your data analysis and Excel programming skills to new heights In order to take Excel to the next level, you need to understand and implement the power of Visual Basic for Applications (VBA). This 4th edition of Excel VBA Programming For Dummies introduces you to a wide array of new Excel options, beginning with the most important tools and operations for the Visual Basic Editor. Inside, you'll get the lowdown on the essential elements and concepts for programming with Excel, discover techniques for handling errors and exterminating bugs, working with range objects, controlling program flow, and much more. With the release of Microsoft Office 2016, Excel will see changes in its operating system, and this fun, hands-on guide will make it easier than ever to harness the power of Visual Basic for Applications and create custom applications and macros on the world's most popular spreadsheet tool. Packed with friendly advice on the easiest ways to develop custom dialog boxes, toolbars, and menus, you'll be creating Excel applications custom-fit to your unique needs in no time at all! Provides step-by-step instructions for creating VBA macros to maximize productivity Helps to increase efficiency by demonstrating how to customize your applications so they look and work the way you want Fully updated for Excel 2016 All sample programs, VBA code, and worksheets are available at dummies.com If you're a beginning to intermediate VBA programmer looking to get up to speed on creating customized solutions with Excel applications, Excel VBA Programming For Dummies, 4th Edition makes it easier.

Sas For Dummies

Author: Stephen McDaniel
Publisher: John Wiley & Sons
ISBN: 9781118044018
Size: 74.48 MB
Format: PDF
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Created in partnership with SAS, this book explores SAS, a business intelligence software that can be used in any business setting or enterprise for data delivery, reporting, data mining, forecasting, statistical analysis, and more SAS employee and technologist Stephen McDaniel combines real-world expertise and a friendly writing style to introduce readers to SAS basics Covers crucial topics such as getting various types of data into the software, producing reports, working with the data, basic SAS programming, macros, and working with SAS and databases

Statistik Praktikum Mit Excel

Author: Jörg Meißner
Publisher: Springer-Verlag
ISBN: 3658041870
Size: 64.72 MB
Format: PDF, Kindle
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An typischen und realitätsnahen Beispielen aus der Wirtschaftspraxis zeigt dieses „Statistik-Praktikum“, wie man grundlegende statistische Analysen mit einem gängigen Werkzeug unterstützt. Dies mit dem Ziel, aus den zu dem Thema verfügbaren Daten Informationen zu gewinnen, die im Sach- bzw. Entscheidungszusammenhang sinn- und wertvoll sind. Dabei ist der numerische Veredelungsprozess durch statistische Analysen in der Praxis nur der Kern eines umfangreicheren Transferprozesses, der ergänzend noch Übersetzungen, Interpretationen und Bewertungen erfordert. Das Statistik-Praktikum deckt systematisch und schrittweise stets den vollständigen Transferprozess ab, beginnend mit der „Übersetzung“ des Business-Falls in statistische Aufgabenstellungen bis hin zur abschließenden Würdigung der verwendeten Ansätze und Ergebnisse. So lernt man, statistische Analysen selbständig und erfolgreich durchzuführen sowie Ansätze und Ergebnisse kompetent zu vertreten. Microsoft Excel wird dabei als Werkzeug genutzt, jedoch nicht exzessiv in seinen Funktionalitäten ausgereizt. Die zweite Auflage wurde überarbeitet und ergänzt. Die Themengebiete „Konzentrationsanalysen“ und „Finanzstatistik“ wurden neu aufgenommen. Alle Inhalte wurden für Excel 2013 aktualisiert.

Data Science For Dummies

Author: Lillian Pierson
Publisher: John Wiley & Sons
ISBN: 1119327644
Size: 46.90 MB
Format: PDF, ePub, Mobi
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Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here’s what to expect: Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It's a big, big data world out there—let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

Excel 2013 For Dummies

Author: Greg Harvey
Publisher: John Wiley & Sons
ISBN: 1118559703
Size: 74.90 MB
Format: PDF, Mobi
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Learn to create, edit, and print Excel worksheets Need to get going with Excel 2013 in a hurry? Here are the basic techniques you need to know to work with Excel spreadsheets on your desktop or Windows tablet. Nothing fancy — just what's necessary to open and navigate Excel 2013, enter and edit data, format cells, add a header and footer, and print your worksheet. It's easy! Open the book and find: Where to find things in the program window Tips for using Excel on a touchscreen device How to use AutoFill and Flash Fill Advice on entering formulas Steps for printing cool-looking reports

Python Machine Learning

Author: Sebastian Raschka
Publisher: Packt Publishing Ltd
ISBN: 1783555149
Size: 66.57 MB
Format: PDF, ePub, Docs
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Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

Quantitative Momentum

Author: Wesley R. Gray
Publisher: John Wiley & Sons
ISBN: 111923719X
Size: 18.77 MB
Format: PDF, Mobi
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The individual investor's comprehensive guide to momentum investing Quantitative Momentum brings momentum investing out of Wall Street and into the hands of individual investors. In his last book, Quantitative Value, author Wes Gray brought systematic value strategy from the hedge funds to the masses; in this book, he does the same for momentum investing, the system that has been shown to beat the market and regularly enriches the coffers of Wall Street's most sophisticated investors. First, you'll learn what momentum investing is not: it's not 'growth' investing, nor is it an esoteric academic concept. You may have seen it used for asset allocation, but this book details the ways in which momentum stands on its own as a stock selection strategy, and gives you the expert insight you need to make it work for you. You'll dig into its behavioral psychology roots, and discover the key tactics that are bringing both institutional and individual investors flocking into the momentum fold. Systematic investment strategies always seem to look good on paper, but many fall down in practice. Momentum investing is one of the few systematic strategies with legs, withstanding the test of time and the rigor of academic investigation. This book provides invaluable guidance on constructing your own momentum strategy from the ground up. Learn what momentum is and is not Discover how momentum can beat the market Take momentum beyond asset allocation into stock selection Access the tools that ease DIY implementation The large Wall Street hedge funds tend to portray themselves as the sophisticated elite, but momentum investing allows you to 'borrow' one of their top strategies to enrich your own portfolio. Quantitative Momentum is the individual investor's guide to boosting market success with a robust momentum strategy.

Troubleshooting Sql

Author: Forrest Houlette
Publisher: McGraw-Hill Osborne Media
ISBN: 9780072134896
Size: 42.13 MB
Format: PDF, ePub, Docs
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This programmer's resource explains how to optimize SQL statements and procedures and create a customized SQL debugging environment for error-free applications. You'll get programming tips, best practices, plus coverage of Oracle SQL and PL/SQL and T-SQL for SQL Server.