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Data Science Tools: R o Excel o KNIME o OpenOffice by Christopher Greco (English

Description: Data Science Tools by Christopher Greco In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, and OpenOffice (Spreadsheet). FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description No detailed description available for "Data Science Tools". Author Biography Greco Christopher : Christopher Greco is a COMPTIA Certified Technical Trainer and Microsoft Certified Systems Engineer with numerous years of industry experience in the areas of data analysis, cybersecurity, and IT instruction and training. Table of Contents 1: First Steps 2: Importing Data 3: Statistical Tests 4: More Statistical Tests 5: Statistical Methods for Specific Tools 6: Summary 7: Supplemental Information Index Review "Data Science Tools covers Excel, OpenOffice, KIME and R, and examines how statistical concepts are analyzed, translated, and surveyed. It uses data from federal sources and reviews basic statistical concepts, from distribution and histrograms to various forms of analysis and representation. The contrast between the different software approaches and uses will especially interest students looking to understand the different software systems and how they approach data representation and analysis." Long Description In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, and OpenOffice (Spreadsheet). Each of these tools will be used to apply statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis using real data from Federal Government sources. Features: Analyzes data using popular applications such as Excel, R, KNIME, and OpenOffice Covers statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression,histograms, and geographic analysis Capstone exercises analyze data using the different software packages Review Quote "Data Science Tools covers Excel, OpenOffice, KIME and R, andexamines how statistical concepts are analyzed, translated, and surveyed. Ituses data from federal sources and reviews basic statistical concepts, fromdistribution and histrograms to various forms of analysis and representation.The contrast between the different software approaches and uses will especiallyinterest students looking to understand the different software systems and howthey approach data representation and analysis." Details ISBN1683925831 Author Christopher Greco Short Title Data Science Tools Pages 206 Language English Year 2020 ISBN-10 1683925831 ISBN-13 9781683925835 Format Paperback Imprint Mercury Learning & Information Country of Publication United States NZ Release Date 2020-05-18 UK Release Date 2020-05-18 Publisher Mercury Learning & Information Subtitle R • Excel • KNIME • OpenOffice DEWEY 519.50285 Publication Date 2020-06-01 Alternative 9781683925828 Audience Professional & Vocational US Release Date 2020-06-01 AU Release Date 2020-07-27 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:136588909;

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Data Science Tools: R o Excel o KNIME o OpenOffice by Christopher Greco (English

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Restocking fee: No

Return shipping will be paid by: Buyer

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Item must be returned within: 30 Days

ISBN-13: 9781683925835

Book Title: Data Science Tools

Publisher: Mercury Learning & Information

Publication Year: 2020

Subject: Government, Computer Science

Item Height: 229 mm

Number of Pages: 206 Pages

Language: English

Publication Name: Data Science Tools: R * Excel * Knime * OpenOffice

Type: Textbook

Author: Christopher Greco

Item Width: 178 mm

Format: Paperback

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