Become a LAN master virtually overnight! Sharpen your network skills virtually overnight with PC Network Administration, by Dr. Andres Fortino and Peter Rybaczk. Based on their popular Learning Tree course, "Managing PC Networks," it arms you with the know-how to implement a LAN and manage it on a day-to-day basis. You get scores of how-to illustrations, forms, checklists, practical exercises, plus a disk filled with valuable network utilities and a network virus checker... all the essential tools you need to: Document your network configuraion; Optimize the user environment; Install and manage servers, bridges, and routers; Establish an efficient backup plan; Develop appropriate LAN maintenance procedures; Organize LAN security, sortware use guidelines and virus protection; Implement and upgrade plan and improve network performance; Troubleshoot the network; Much more.

PC Network Administration/Book and Disk

Computers & Technology

Rybaczyk, Peter

Fortino, Andres

Certification

Computing McGraw-Hill

A book/CD-ROM offering advice on creating an enterprise system in a multivendor, multiprotocol environment. Details current protocols, standards, and industry consortiums, with chapters on internetworking; interoperability; OSF/DCE; and network support and management. Includes chapter reviews and answers, and lists online resources. For LAN administrators, applications designers, and network managers. The accompanying CD-ROM contains Internet RFCs and interoperability guides. Annotation c. by Book News, Inc., Portland, Or.

Multivendor Networking: Linking PCs, Minis, and Mainframes over Lans and Wans (McGraw-Hill Series on Computer Communications)

Golick, Jerry

McGraw=Hill

From the developers of Learning Tree International's successful course on networking technologies, this all-inclusive resource will help you pass the Novell Certified NetWare Engineer Networking Technologies exam. You'll get easy-to-understand explanations of all the technical information you need to know, as well as a full arsenal of effective study weapons, including a CD-ROM with sample test questions.The technologies and standards used in local, metropolitan, and wide-area networks are all covered in detail - not just for Novell networks, but also networks running on Microsoft, UNIX, Banyan, and IBM LAN Server platforms. Fortino and Villeneuve demystify protocols, networking terminology, network management issues, and more. You'll also find hundreds of helpful illustrations, checklists, and forms throughout.On the value-packed CD-ROM, you'll find over 200 MB of valuable resource information, including sample test questions and answers, related Request for Comments documents (RFCs) and NetWare Frequently Asked Questions (FAQs), an OSI model and protocol family tutorial, an electronic network protocol reference database, and valuable lists of additional resources.Information-packed appendices supply you with a glossary of terms and acronyms, addresses of standards organizations, a graphical layout of protocols, and more.

Networking Technologies: A Complete Guide to Passing the Novell Cne Exam

Villeneuve, Arnold

This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel, today's most common analysis tool. They range from the most basic descriptiveanalytical techniques to more advanced techniques such as linear regression and forecasting. Advanced projects cover inferential statistics for continuous variables (t-Test) and categorical variables (chi-square), as well as A/B testing. The manual ends with techniques to deal with the analysis of text data and tools to manage the analysis of large data sets (Big Data) using Excel. Includes companion files with solution spreadsheets, sample files, data sets, etc. from the book. Features: <ul> <li>Teaches the statistical analysis skills needed to support business decisions</li> <li>Provides projects ranging from the most basic descriptive analytical techniques to more advanced techniques such as linear regression, forecasting, inferential statistics, and analyzing big data sets</li> <li>Includes companion files with solution spreadsheets, sample files, data sets, etc. used in the book's case studies</li> </ul> The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.

Data Analysis for Business Decisions: A Laboratory Manual

Business & Money

Management & Leadership

Mercury Learning and Information

This workbook is intended for business analysts who wish to improve their skills in creating data visuals, presentations, and report illustrations used to support business decisions. It is a qualitative lab to develop the power of visualization and discrimination. It does not require the reader to modify charts, but to analyze and describe what would improve charts. In a set of controlled exercises, the reader is taken through the eighteen elements of six dimensions of analyzing and improving charts, visuals and reports used to communicate business concepts. Includes companion files with videos, sample files, and slides used in examples from thebook. Features: <ul> <li>Includes eighteen labs, three for each of the six major dimensions of data visuals: Story, Signs, Purpose, Perception, Method, and Charts</li> <li>Uses a comprehensive RAIKS (Rapid Assessment of Individual Knowledge and Skills) survey to judge readers' progress before and after using the text</li> <li>Provides a capstone exercise to review the aggregate analysis and final results for the two analyzed charts</li> <li>Companion files that include video tutorials and all of the sample files and templates used in the book's examples</li> </ul> The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.

Data Visualization for Business Decisions: A Laboratory Manual

Software

With the rise in data science development, we now have many remarkable techniques and tools to extend data analysis from numeric and categorical data to textual data. Sifting through the open-ended responses from a survey, for example, was an arduous process when performed by hand. Using a case study approach, this book was written for business analysts who wish to increase their skills in extracting answers for text data in order to support business decision making. Most of the exercises use Excel, today's most common analysis tool, and R, a popular analytic computer environment. The techniques covered range from the most basic text analytics, such as key word analysis, to more sophisticated techniques, such as topic extraction and text similarity scoring. Companion files with numerous datasets are included for use with case studies and exercises. FEATURES: <ul> <li>Organized by tool or technique, with the basic techniques presented first and the more sophisticated techniques presented later</li> <li style="list-style: none"> </li> <li>Uses Excel and R for datasets in case studies and exercises</li> <li style="list-style: none"> </li> <li>Features the CRISP-DM data mining standard with early chapters for conducting the preparatory steps in data mining</li> <li style="list-style: none"> </li> <li>Companion files with numerous datasets and figures from the text.</li> </ul> The companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com.

Text Analytics for Business Decisions: A Case Study Approach

With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Most of the exercises use R and Python, but rather than focus on coding algorithms, the book employs interactive interfaces to these tools to perform the analysis. Using the CRISP-DM data mining standard, the early chapters cover conducting the preparatory steps in data mining: translating business information needs into framed analytical questions and data preparation. The Jamovi and the JASP interfaces are used with R and the Orange3 data mining interface with Python. Where appropriate, Voyant and other open-source programs are used for text analytics. The techniques covered in this book range from basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictivetechniques, such as linear and logistic regression, clustering, classification, and text analytics. Includes companion files with case study files, solution spreadsheets, data sets and charts, etc. from the book.\nFEATURES: 
Covers basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics Uses R, Python, Jamovi and JASP interfaces, and the Orange3 data mining interface Includes companion files with the case study files from the book, solution spreadsheets, data sets, etc.

Data Mining and Predictive Analytics for Business Decisions: A Case Study Approach

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