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作者 Granville, Vincent (Ph. D.), author
書名 Developing analytic talent : becoming a data scientist / Vincent Granville, Ph.D.
出版項 Indianapolis, IN : John Wiley & Sons, Inc., [2014]
©2014
國際標準書號 9781118810088 (pbk. : alk. paper)
1118810082 (pbk. : alk. paper)
book jacket
館藏地 索書號 處理狀態 OPAC 訊息 條碼
 人社中心  QA76.9.D343 G765 2014    到期 01-29-20    30560400487861
說明 xxv, 310 pages : illustrations ; 24 cm
text rdacontent
unmediated rdamedia
volume rdacarrier
附註 Includes index
Introduction -- Chapter 1: What Is Data Science? -- Real Versus Fake Data Science -- The Data Scientist -- Data Science Applications in 13 Real-World Scenarios -- Data Science History, Pioneers, and Modern Trends -- Summary -- Chapter 2: Big Data Is Different -- Two Big Data Issues -- Examples of Big Data Techniques -- What MapReduce Can't Do -- Communication Issues -- Data Science: The End of Statistics? -- The Big Data Ecosystem -- Summary -- Chapter 3: Becoming a Data Scientist -- Key Features of Data Scientists -- Types of Data Scientists -- Data Scientist Demographics -- Training for Data Science Data Scientist Career PathsSummary -- Chapter 4: Data Science Craftsmanship, Part I -- New Types of Metrics -- Choosing Proper Analytics Tools -- Visualization -- Statistical Modeling Without Models -- Three Classes of Metrics: Centrality, Volatility, Bumpiness -- Statistical Clustering for Big Data -- Correlation and R-Squared for Big Data -- Computational Complexity -- Structured Coefficient -- Identifying the Number of Clusters -- Internet Topology Mapping; Securing Communications: Data Encoding -- Summary -- Chapter 5: Data Science Craftsmanship, Part II -- Data Dictionary -- Hidden Decision Trees -- Model-Free Confidence Intervals -- Random Numbers -- Four Ways to Solve a Problem -- Causation Versus Correlation -- How Do You Detect Causes? -- Life Cycle of Data Science Projects -- Predictive Modeling Mistakes -- Logistic-Related Regressions -- Experimental Design -- Analytics as a Service and APIs -- Miscellaneous Topics -- New Synthetic Variance for Hadoop and Big Data -- Summary -- Chapter 6: Data Science Application Case Studies -- Stock Market -- Encryption -- Fraud Detection -- Digital Analytics -- Miscellaneous -- Summary -- Chapter 7: Launching Your New Data Science Career -- Job Interview Questions -- Testing Your Own Visual and Analytic Thinking -- From Statistician to Data Scientist -- Taxonomy of a Data Scientist -- 400 Data Scientist Job Titles -- Salary Surveys -- Summary -- Chapter 8: Data Science Resources -- Professional Resources -- Career-Building Resources -- Summary -- Index
主題 Big data
Data mining
Database management -- Vocational guidance
Electronic data processing consultants -- Vocational guidance
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