000			01289 a2200217 4500
020			_a9788194435006
082			_a001.422 BRU
100			_aBruce, Peter
245			_aPractical Statistics for Data Scientists: 50+ Essential Concepts Using R & Python
250			_a2
260			_bShroff Publishers & Distributors _aMumbai _c2020
300			_a342
520			_aStatistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.
650			_aStatistical Methods
650			_a Data Science
650			_aR
650			_aPython
700			_aBruce, Andrew
700			_aGedeck, Peter
942			_cBK _2ddc
999			_c45380 _d45380