Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Data Analysis With Open Source Tools: A Hands-On Guide For Programmers And Data ScientistsISBN13:9780596802356ISBN10:0596802358Author:Janert, Philipp K. (Author)Description:Collecting Data Is Relatively Easy, But Turning Raw Information Into Something Useful Requires That You Know How To Extract Precisely What You Need With This Insightful Book, Intermediate To Experienced Programmers Interested In Data Analysis Will Learn Techniques For Working With Data In A Business Environment You'll Learn How To Look At Data To Discover What It Contains, How To Capture Those Ideas In Conceptual Models, And Then Feed Your Understanding Back Into The Organization Through Business Plans, Metrics Dashboards, And Other Applications Along The Way, You'll Experiment With Concepts Through Hands-On Workshops At The End Of Each Chapter Above All, You'll Learn How To Think About The Results You Want To Achieve -- Rather Than Rely On Tools To Think For You Use Graphics To Describe Data With One, Two, Or Dozens Of Variablesdevelop Conceptual Models Using Back-Of-The-Envelope Calculations, As Well Asscaling And Probability Argumentsmine Data With Computationally Intensive Methods Such As Simulation And Clusteringmake Your Conclusions Understandable Through Reports, Dashboards, And Other Metrics Programsunderstand Financial Calculations, Including The Time-Value Of Moneyuse Dimensionality Reduction Techniques Or Predictive Analytics To Conquer Challenging Data Analysis Situationsbecome Familiar With Different Open Source Programming Environments For Data Analysisfinally, A Concise Reference For Understanding How To Conquer Piles Of Data --Austin King, Senior Web Developer, Mozillaan Indispensable Text For Aspiring Data Scientists --Michael E Driscoll, Ceofounder, Dataspora Anyone Can Apply Data Analysis Tools And Get Results, But Without The Right Approach Those Results May Be Useless Janert Teaches Readers How To Think About Data: How To Effectively Approach Data Analysis Problems, And How To Extract All Of The Available Information From Data Binding:Paperback, PaperbackPublisher:OREILLY MEDIAPublication Date:2010-11-28Weight:1.85 lbsDimensions:1.4'' H x 9.2'' L x 7'' WNumber of Pages:509Language:English
Price: 30.32 USD
Location: USA
End Time: 2024-11-01T09:32:29.000Z
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Book Title: Data Analysis With Open Source Tools: A Hands-On Guide For P...
Number of Pages: 530 Pages
Publication Name: Data Analysis with Open Source Tools : a Hands-On Guide for Programmers and Data Scientists
Language: English
Publisher: O'reilly Media, Incorporated
Item Height: 1.1 in
Subject: Mathematical & Statistical Software, Databases / Data Mining, Databases / General, Programming Languages / Python
Publication Year: 2010
Item Weight: 31.9 Oz
Type: Textbook
Author: Philipp Janert
Subject Area: Computers
Item Length: 9.1 in
Item Width: 7.2 in
Format: Trade Paperback
