{"product_id":"data-science-mindset-methodologies-and-misconceptions-paperback","title":"Data Science: Mindset, Methodologies, and Misconceptions - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eZacharias Voulgaris\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMaster the concepts and strategies underlying success and progress in data science.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eFrom the author of the bestsellers, \u003cem\u003eData Scientist\u003c\/em\u003e and \u003cem\u003eJulia for Data Science\u003c\/em\u003e, this book covers four foundational areas of data science. The first area is the data science pipeline including methodologies and the data scientist's toolbox. The second are essential practices needed in understanding the data including questions and hypotheses. The third are pitfalls to avoid in the data science process. The fourth is an awareness of future trends and how modern technologies like Artificial Intelligence (AI) fit into the data science framework.\u003c\/p\u003e\u003cp\u003eThe following chapters cover these four foundational areas: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eChapter 1 - What Is Data Science?\u003c\/li\u003e \u003cli\u003eChapter 2 - The Data Science Pipeline\u003c\/li\u003e \u003cli\u003eChapter 3 - Data Science Methodologies\u003c\/li\u003e \u003cli\u003eChapter 4 - The Data Scientist's Toolbox\u003c\/li\u003e \u003cli\u003eChapter 5 - Questions to Ask and the Hypotheses They Are Based On\u003c\/li\u003e \u003cli\u003eChapter 6 - Data Science Experiments and Evaluation of Their Results\u003c\/li\u003e \u003cli\u003eChapter 7 - Sensitivity Analysis of Experiment Conclusions\u003c\/li\u003e \u003cli\u003eChapter 8 - Programming Bugs\u003c\/li\u003e \u003cli\u003eChapter 9 - Mistakes Through the Data Science Process\u003c\/li\u003e \u003cli\u003eChapter 10 - Dealing with Bugs and Mistakes Effectively and Efficiently\u003c\/li\u003e \u003cli\u003eChapter 11 - The Role of Heuristics in Data Science\u003c\/li\u003e \u003cli\u003eChapter 12 - The Role of AI in Data Science\u003c\/li\u003e \u003cli\u003eChapter 13 - Data Science Ethics\u003c\/li\u003e \u003cli\u003eChapter 14 - Future Trends and How to Remain Relevant\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eTargeted towards data science learners of all levels, this book aims to help the reader go beyond data science techniques and obtain a more holistic and deeper understanding of what data science entails. With a focus on the problems data science tries to solve, this book challenges the reader to become a self-sufficient player in the field.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 206\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.44 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 05, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47203607314681,"sku":"9781634622561","price":48.55,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/WEtwOEFVbUdaZmQwSEo0T2pKUWM3Zz09.webp?v=1768008446","url":"https:\/\/bookscloud.io\/products\/data-science-mindset-methodologies-and-misconceptions-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}