{"product_id":"quantitative-analysis-for-system-applications-data-science-and-analytics-tools-and-techniques-9781634624237","title":"Quantitative Analysis for System Applications: Data Science and Analytics Tools and Techniques","description":"\u003cp\u003e • Author(s): Daniel A. McGrath\u003cbr\u003e • Publisher: Technics Publications\u003cbr\u003e • Publisher Imprint: Technics Publications\u003cbr\u003e • BISAC: Data Science - Data Analytics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAs data holdings get bigger and questions get harder, data scientists and analysts must focus on the \u003cem\u003esystems\u003c\/em\u003e, the tools and techniques, and the disciplined process to get the correct answer, quickly! Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eHere are just a dozen of the many questions answered within these pages: \u003c\/p\u003e \u003col\u003e \u003cli\u003eWhat does quantitative analysis of a system really mean?\u003c\/li\u003e \u003cli\u003eWhat is a system?\u003c\/li\u003e \u003cli\u003eWhat are big data and analystics?\u003c\/li\u003e \u003cli\u003eHow do you know your numbers are good?\u003c\/li\u003e \u003cli\u003eWhat will the future data science environment look like?\u003c\/li\u003e \u003cli\u003eHow do you determine data provenance?\u003c\/li\u003e \u003cli\u003eHow do you gather and process information, and then organize, store, and synthesize it?\u003c\/li\u003e \u003cli\u003eHow does an organization implement data analytics?\u003c\/li\u003e \u003cli\u003eDo you really need to think like a Chief Information Officer?\u003c\/li\u003e \u003cli\u003eWhat is the best way to protect data?\u003c\/li\u003e \u003cli\u003eWhat makes a good dashboard?\u003c\/li\u003e \u003cli\u003eWhat is the relationship between eating ice cream and getting attacked by a shark?\u003c\/li\u003e \u003c\/ol\u003e \u003cp\u003eThe nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).\u003c\/p\u003e \u003cp\u003eMany examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.\u003c\/p\u003e","brand":"Technics Publications","offers":[{"title":"Paperback","offer_id":45132287049879,"sku":"9781634624237","price":4226.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781634624237.webp?v=1767102762","url":"https:\/\/atlanticbooks.com\/products\/quantitative-analysis-for-system-applications-data-science-and-analytics-tools-and-techniques-9781634624237","provider":"Atlantic Books","version":"1.0","type":"link"}