{"product_id":"data-science-crash-course-for-beginners-with-python-fundamentals-and-practices-with-python-paperback","title":"Data Science Crash Course for Beginners with Python: Fundamentals and Practices with Python - Paperback","description":"\u003cp\u003eby \u003cb\u003eAi Publishing\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eData Science Crash Course for Beginners with Python\u003c\/p\u003e\u003cp\u003eData Science is here to stay. The tremendous growth in the volume, velocity, and variety of data has a substantial impact on every aspect of a business. While data continues to grow exponentially, accuracy remains a problem. This is where data scientists play a decisive role. A data scientist analyzes data, discovers new insights, paints a picture, and creates a vision. And a competent data scientist will provide a business with the competitive edge it needs and address pressing business problems. \u003ci\u003eData Science Crash Course for Beginners with Python\u003c\/i\u003e presents you with a hands-on approach to learn data science fast.\u003c\/p\u003eHow Is This Book Different?\u003cp\u003eEvery book by AI Publishing has been carefully crafted. This book lays equal emphasis on the theoretical sections as well as the practical aspects of data science. Each chapter provides the theoretical background behind the numerous data science techniques, and practical examples explain the working of these techniques. In the \u003ci\u003eFurther Reading\u003c\/i\u003e section of each chapter, you will find the links to informative data science posts. This book presents you with the tools and packages you need to kick-start data science projects to resolve problems of practical nature. Special emphasis is laid on the main stages of a data science pipeline-data acquisition, data preparation, exploratory data analysis, data modeling and evaluation, and interpretation of the results. In the Data Science Resources section, links to data science resources, articles, interviews, and data science newsletters are provided. The author has also put together a list of contests and competitions that you can try on your own. Another added benefit of buying this book is you get instant access to all the learning material presented with this book- PDFs, Python codes, exercises, and references-on the publisher's website. They will not cost you an extra cent. The datasets used in this book can be downloaded at runtime, or accessed via the \u003ci\u003eResources\/Datasets\u003c\/i\u003e folder. The author simplifies your learning by holding your hand through everything. The step by step description of the installation of the software you need for implementing the various data science techniques in this book is guaranteed to make your learning easier. So, right from the beginning, you can experiment with the practical aspects of data science. You'll also find the quick course on Python programming in the second and third chapters immensely helpful, especially if you are new to Python. This book gives you access to all the codes and datasets. So, access to a computer with the internet is sufficient to get started. \u003c\/p\u003e\u003cp\u003eThe topics covered include: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eIntroduction to Data Science and Decision Making\u003c\/li\u003e\n\u003cli\u003ePython Installation and Libraries for Data Science\u003c\/li\u003e\n\u003cli\u003eReview of Python for Data Science\u003c\/li\u003e\n\u003cli\u003eData Acquisition\u003c\/li\u003e\n\u003cli\u003eData Preparation (Preprocessing)\u003c\/li\u003e\n\u003cli\u003eExploratory Data Analysis\u003c\/li\u003e\n\u003cli\u003eData Modeling and Evaluation Using Machine Learning\u003c\/li\u003e\n\u003cli\u003eInterpretation and Reporting of Findings\u003c\/li\u003e\n\u003cli\u003eData Science Projects\u003c\/li\u003e\n\u003cli\u003eKey Insights and Further Avenues\u003c\/li\u003e\n\u003c\/ul\u003eClick the BUY button to start your Data Science journey.\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 316\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.66 x 9 x 6 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 31, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42101921579143,"sku":"9781734790146","price":33.73,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0601\/2623\/2711\/files\/4cf97d4a938a901f0b26d50c913c6a93.webp?v=1732398619","url":"https:\/\/booksby.splitshops.com\/products\/data-science-crash-course-for-beginners-with-python-fundamentals-and-practices-with-python-paperback","provider":"Books by splitShops","version":"1.0","type":"link"}