000			01593 a2200169 4500
008			240801b |||||||| |||| 00| 0 eng d
020			_a9789389845662
082			_a005.74015 _bNAN
100			_aNandi Gypsy
245			_aData Science Fundamentals & Practical Approaches
260			_bBPB Publications _c2020 _aNew Delhi
300			_a634
520			_aThis book introduces the fundamental concepts of Data Science, which has proved to be a major game-changer in business solving problems. Topics covered in the book include fundamentals of Data Science, data preprocessing, data plotting and visualization, statistical data analysis, machine learning for data analysis, time-series analysis, deep learning for Data Science, social media analytics, business analytics, and Big Data analytics. The content of the book describes the fundamentals of each of the Data Science related topics together with illustrative examples as to how various data analysis techniques can be implemented using different tools and libraries of Python programming language. Each chapter contains numerous examples and illustrative output to explain the important basic concepts. An appropriate number of questions is presented at the end of each chapter for self-assessing the conceptual understanding. The references presented at the end of every chapter will help the readers to explore more on a given topic. Source: https://in.bpbonline.com/products/data-science-python-programming-book-ebook?_pos=1&_sid=ecff3c0d3&_ss=r
650			_aData Science
906			_aBusiness Analytics
942			_c1 _2ddc
999			_c98690 _d98690