Data Analysis and Decision Making with Microsoft Excel by S. Christian AlbrightMaster data analysis, modeling, and spreadsheet use with DATA ANALYSIS AND DECISION MAKING WITH MICROSOFT EXCEL With a teach-by-example approach, student-friendly writing style, and complete Excel integration, this business statistics text provides you with the tools you need to succeed. Margin notes, boxed-in definitions and formulas in the text, enhanced explanations in the text itself, and stated objectives for the examples found throughout the text make studying easy. Problem sets and cases provide realistic examples that enable you to see the relevance of the material to your future as a business leader.
Data Analysis and Decision Making - Textbook ONLY
Data Analysis is a process of inspecting, cleaning, transforming and modeling data with the goal of discovering useful information, suggesting conclusions and supporting decision-making. Several data analysis techniques exist encompassing various domains such as business, science, social science, etc. Data Mining is the analysis of large quantities of data to extract previously unknown, interesting patterns of data, unusual data and the dependencies. Note that the goal is the extraction of patterns and knowledge from large amounts of data and not the extraction of data itself. Data mining analysis involves computer science methods at the intersection of the artificial intelligence, machine learning, statistics, and database systems. The patterns obtained from data mining can be considered as a summary of the input data that can be used in further analysis or to obtain more accurate prediction results by a decision support system.
This popular quantitative methods text helps you maximize your success with its proven teach-by-example approach, student-friendly writing style, and complete Excel integration. It is also compatible with Excel , , and The text devotes three online chapters to advanced statistical analysis. Chapters on data mining and importing data into Excel emphasize tools commonly used under the Business Analytics umbrella -- including Microsoft Excel's "Power BI" suite. Up-to-date problem sets and cases demonstrate how chapter concepts relate to real-world practice. Christian Albright received both his B.
Data analysis & decision making with Microsoft Excel. [S Christian Edition/ Format: Print book: CD for computer: Program Computer File: English: Rev.
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Christian Albright received both his B. He taught courses in management science, computer simulation and statistics to all levels of business students, including undergraduate, M. He has published more than 20 articles in leading operations research journals in applied probability. After retiring, he worked for several years for the Palisade software company. Wayne L. Winston has received more than 45 teaching awards and is a six-time recipient of the school-wide M.
The emphasis of the text is on data analysis, modeling, and spreadsheet use in statistics and management science. This text contains professional Excel software add-ins. The authors maintain the elements that have made this text a market leader in its first edition: clarity of writing, a teach-by-example approach, and complete Excel integration. Read more Please choose whether or not you want other users to be able to see on your profile that this library is a favorite of yours. Finding libraries that hold this item