Probability & Statistics
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Beyond Basic Statistics (Tips, Tricks, and Techniques Every Data Analyst Should Know)
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Big and Complex Data Analysis (Methodologies and Applications)
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Big Data and Social Media Analytics (Trending Applications)
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Big Data: Concepts, Technology, and Architecture (Concepts, Technology, and Architecture)
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Bilinear Regression Analysis (An Introduction)
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Binding Phenomena (General Description and Analytical Applications)
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Biostatistics for the Biological and Health Sciences
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Bootstrap Methods (With Applications in R)
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Branching Processes and Their Applications
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Business Statistics for Competitive Advantage with Excel 2007 (Basics, Model Building and Cases)
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Case Studies in Applied Bayesian Data Science (CIRM Jean-Morlet Chair, Fall 2018)
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Census 2020 (Understanding the Issues)
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