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  • 1
    Online Resource
    Online Resource
    Cary, NC : SAS Institute
    ISBN: 9781629604855 , 1629604852
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: JMP (Computer file) ; Quantitative research ; Computer programs ; Electronic books ; Electronic books ; local
    Abstract: With the powerful interactive and visual functionality of JMP, you can dynamically analyze market data to transform it into actionable and useful information with clear, concise, and insightful reports and displays. Market Data Analysis Using JMP is a unique example-driven book because it has a specific application focus: market data analysis. A working knowledge of JMP will help you turn your market data into vital knowledge that will help you succeed in a highly competitive, fast-moving, and dynamic business world. This book can be used as a stand-alone resource for working professionals, or as a supplement to a business school course in market data research. Anyone who works with market data will benefit from reading and studying this book, then using JMP to apply the dynamic analytical concepts to their market data. After reading this book, you will be able to quickly and effortlessly use JMP to: prepare market data for analysis use and interpret sophisticated statistical methods build choice models estimate regression models to turn data into useful and actionable information Market Data Analysis Using JMP will teach you how to use dynamic graphics to illustrate your market data analysis and explore the vast possibilities that your data can offer!
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (viewed January 16, 2017)
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  • 2
    Online Resource
    Online Resource
    [Sebastopol, California] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.312
    Keywords: Data mining ; Python (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Many business analysts believe that the only way to analyze data is by creating simple charts and estimating simple linear models. However, to truly extract the key information buried inside your business data—information that is important for making sound and reasonable business decisions—you need to perform sophisticated, high-powered analyses. In this three-hour hands-on course, expert Walter Paczkowski walks you through data visualization and statistical methods implemented in Python for analyzing business data, whether sales, personnel, logistics, marketing, or financial. You'll explore the nature of business data, the application and interpretation of statistical and machine learning methods for gaining insight into your business, and how to present conclusions in tabular and graphical formats. By the end of the course, you'll be able to use Python to interactively visualize data, estimate predictive models, and distribute reports from Jupyter notebooks.
    Note: Online resource; title from title details screen (O’Reilly, viewed June 2, 2022)
    Library Location Call Number Volume/Issue/Year Availability
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