1 edition of Data analysis and interpretation found in the catalog.
Data analysis and interpretation
Bibliography: p. 240-242.
|Statement||Christina P. Parel ... [et al.].|
|Series||PSSC social survey series ;, no. 3|
|Contributions||Parel, Cristina P., Philippine Social Science Council.|
|LC Classifications||HA29 .D26 1979|
|The Physical Object|
|Pagination||xv, 242 p. :|
|Number of Pages||242|
|LC Control Number||84223286|
The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn.
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Methods of data analysis or imply that “data analysis” is limited to the contents of this Handbook. Program staff are urged to view this Handbook as a beginning resource, and to supplement their knowledge of data analysis procedures and methods over time File Size: 1MB.
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This book began as class notes for a course we teach on applied statistical methods to hydrologists of the Water Resources Division, U. Geological Survey (USGS). It reflects our attempts to teach statistical methods which are appropriate for analysis of water resources data.
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Question bank and exercises with keys/answers are provided for each chapter. Chapter 1: Basic Concepts in Research and Data Analysis 7 Values A value refers to either a subject’s relative standing on a quantitative variable, or a subject’s classification within a classification variable.
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