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Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9780655896326
Total Pages : 0 pages
Book Rating : 4.8/5 (963 download)
Download or read book Data Science Teams A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9780655894520
Total Pages : 0 pages
Book Rating : 4.8/5 (945 download)
Download or read book Data Science Team A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science Team A Complete Guide - 2019 Edition.
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655844532
Total Pages : 304 pages
Book Rating : 4.8/5 (445 download)
Download or read book Data Science Team A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-08-07 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do data science teams have standardized and repeatable processes for executing analytical workflows that are documented and shared across teams? What should the next improvement project be that is related to data science team? Do you think data science team accomplishes the goals you expect it to accomplish? Risk Identification: What are the possible risk events your organization faces in relation to data science team? How do you manage data science team Knowledge Management (KM)? This valuable Data Science Team self-assessment will make you the entrusted Data Science Team domain auditor by revealing just what you need to know to be fluent and ready for any Data Science Team challenge. How do I reduce the effort in the Data Science Team work to be done to get problems solved? How can I ensure that plans of action include every Data Science Team task and that every Data Science Team outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Science Team costs are low? How can I deliver tailored Data Science Team advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Science Team essentials are covered, from every angle: the Data Science Team self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Science Team outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Science Team practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Science Team are maximized with professional results. Your purchase includes access details to the Data Science Team self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Science Team Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Howard Steven Friedman
Publisher : Columbia University Press
ISBN 13 : 0231556691
Total Pages : 271 pages
Book Rating : 4.2/5 (315 download)
Download or read book Winning with Data Science written by Howard Steven Friedman and published by Columbia University Press. This book was released on 2024-01-30 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams. Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrated through practical examples. The book follows the stories of Kamala and Steve, two professionals who need to collaborate with data science teams to achieve their business goals. Howard Steven Friedman and Akshay Swaminathan walk readers through each step of managing a data science project, from understanding the different roles on a data science team to identifying the right software. They equip readers with critical questions to ask data analysts, statisticians, data scientists, and other technical experts to avoid wasting time and money. Winning with Data Science is a must-read for anyone who works with data science teams or is interested in the practical side of the subject.
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655547969
Total Pages : 310 pages
Book Rating : 4.5/5 (479 download)
Download or read book Data Scientist A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-06-18 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: What are some software and skills that every Data Scientist should know? Does staff have access to a wide range of open source tools, libraries, and languages to tackle analytical projects? Do you have a moral role as data scientist? How do you find data scientists? Are your data scientists evaluated against clear and defined individual and team-based performance metrics? This best-selling Data Scientist self-assessment will make you the accepted Data Scientist domain standout by revealing just what you need to know to be fluent and ready for any Data Scientist challenge. How do I reduce the effort in the Data Scientist work to be done to get problems solved? How can I ensure that plans of action include every Data Scientist task and that every Data Scientist outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Scientist costs are low? How can I deliver tailored Data Scientist advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Scientist essentials are covered, from every angle: the Data Scientist self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Scientist outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Scientist practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Scientist are maximized with professional results. Your purchase includes access details to the Data Scientist self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Scientist Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : DJ Patil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449316778
Total Pages : 14 pages
Book Rating : 4.4/5 (493 download)
Download or read book Building Data Science Teams written by DJ Patil and published by "O'Reilly Media, Inc.". This book was released on 2011-09-15 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success. Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655810452
Total Pages : 316 pages
Book Rating : 4.8/5 (14 download)
Download or read book Data Science A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-06-30 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to compute results with a predefined privacy budget? Are your data science teams using agile approaches (ex: DataOps) for building and deploying data products? Where does data science fit in? How well developed is the vision for Data Science in your organization? Is it sensible to pursue your organization in purely business analysis and data science? This valuable Data Science self-assessment will make you the entrusted Data Science domain assessor by revealing just what you need to know to be fluent and ready for any Data Science challenge. How do I reduce the effort in the Data Science work to be done to get problems solved? How can I ensure that plans of action include every Data Science task and that every Data Science outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Science costs are low? How can I deliver tailored Data Science advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Science essentials are covered, from every angle: the Data Science self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Science outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Science practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Science are maximized with professional results. Your purchase includes access details to the Data Science self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Science Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655817260
Total Pages : 306 pages
Book Rating : 4.8/5 (172 download)
Download or read book Analytics Teams A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-07-07 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: How often will data be collected for measures? How are measurements made? What is the recognized need? Is the analytics teams test/monitoring cost justified? Is special analytics teams user knowledge required? This astounding Analytics Teams self-assessment will make you the credible Analytics Teams domain adviser by revealing just what you need to know to be fluent and ready for any Analytics Teams challenge. How do I reduce the effort in the Analytics Teams work to be done to get problems solved? How can I ensure that plans of action include every Analytics Teams task and that every Analytics Teams outcome is in place? How will I save time investigating strategic and tactical options and ensuring Analytics Teams costs are low? How can I deliver tailored Analytics Teams advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Analytics Teams essentials are covered, from every angle: the Analytics Teams self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Analytics Teams outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Analytics Teams practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Analytics Teams are maximized with professional results. Your purchase includes access details to the Analytics Teams self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Analytics Teams Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author : Przemek Chojecki
Publisher : Przemek Chojecki
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4./5 ( download)
Download or read book Data Science Job: How to become a Data Scientist written by Przemek Chojecki and published by Przemek Chojecki. This book was released on 2020-01-31 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: We’re living in a digital world. Most of our global economy is digital and the sheer volume of data is stupendous. It’s 2020 and we’re living in the future. Data Scientist is one of the hottest job on the market right now. Demand for data science is huge and will only grow, and it seems like it will grow much faster than the actual number of data scientists. So if you want to make a career change and become a data scientist, now is the time. This book will guide you through the process. From my experience of working with multiple companies as a project manager, a data science consultant or a CTO, I was able to see the process of hiring data scientists and building data science teams. I know what’s important to land your first job as a data scientist, what skills you should acquire, what you should show during a job interview.
Author : Nasir Ali Mirza
Publisher : BPB Publications
ISBN 13 : 9391392873
Total Pages : 273 pages
Book Rating : 4.3/5 (913 download)
Download or read book Practitioner’s Guide to Data Science written by Nasir Ali Mirza and published by BPB Publications. This book was released on 2022-01-17 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers Data Science concepts, processes, and the real-world hands-on use cases. KEY FEATURES ● Covers the journey from a basic programmer to an effective Data Science developer. ● Applied use of Data Science native processes like CRISP-DM and Microsoft TDSP. ● Implementation of MLOps using Microsoft Azure DevOps. DESCRIPTION "How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal role in everything we do. This book explains and implements the entire Data Science lifecycle using well-known data science processes like CRISP-DM and Microsoft TDSP. The book explains the significance of these processes in connection with the high failure rate of Data Science projects. The book helps build a solid foundation in Data Science concepts and related frameworks. It teaches how to implement real-world use cases using data from the HMDA dataset. It explains Azure ML Service architecture, its capabilities, and implementation to the DS team, who will then be prepared to implement MLOps. The book also explains how to use Azure DevOps to make the process repeatable while we're at it. By the end of this book, you will learn strong Python coding skills, gain a firm grasp of concepts such as feature engineering, create insightful visualizations and become acquainted with techniques for building machine learning models. WHAT YOU WILL LEARN ● Organize Data Science projects using CRISP-DM and Microsoft TDSP. ● Learn to acquire and explore data using Python visualizations. ● Get well versed with the implementation of data pre-processing and Feature Engineering. ● Understand algorithm selection, model development, and model evaluation. ● Hands-on with Azure ML Service, its architecture, and capabilities. ● Learn to use Azure ML SDK and MLOps for implementing real-world use cases. WHO THIS BOOK IS FOR This book is intended for programmers who wish to pursue AI/ML development and build a solid conceptual foundation and familiarity with related processes and frameworks. Additionally, this book is an excellent resource for Software Architects and Managers involved in the design and delivery of Data Science-based solutions. TABLE OF CONTENTS 1. Data Science for Business 2. Data Science Project Methodologies and Team Processes 3. Business Understanding and Its Data Landscape 4. Acquire, Explore, and Analyze Data 5. Pre-processing and Preparing Data 6. Developing a Machine Learning Model 7. Lap Around Azure ML Service 8. Deploying and Managing Models
Author : Joel Grus
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491904399
Total Pages : 336 pages
Book Rating : 4.4/5 (919 download)
Download or read book Data Science from Scratch written by Joel Grus and published by "O'Reilly Media, Inc.". This book was released on 2015-04-14 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases
Author : Alex Campbell
Publisher :
ISBN 13 :
Total Pages : 86 pages
Book Rating : 4.5/5 (938 download)
Download or read book Data Science for Beginners written by Alex Campbell and published by . This book was released on 2021-01-12 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you wonder what the fascination is around data these days? How do we obtain insights from this data? Do you know what a data scientist does? What is artificial intelligence and machine learning? Are these the same as data science? What does it take to become a data scientist? If you have ever wondered about these questions, you have come to the right place!There are many resources and courses online that you can use to learn more about data science, but with so much information available, it can become overwhelming. One of the best ways to learn about data science is to understand different machine learning concepts, statistics, and artificial intelligence to help you design models to perform an analysis.This book has all the information you need to learn what data science is, and what the prerequisites are to become a data scientist. If you're a beginner or if you already have experience in data science, this book will have something for you.In this book, you will: Learn what data science is about.Discover the difference between data science and business intelligence.Explore the tools required for data science.Find out the technical and non-technical skills every data scientist must have.Figure out how to create a visualization of the data set with clear and easy examples.Get advice on developing a Predictive Model Using R.Uncover detailed applications of data science.And much more!The book has been structured with easy-to-understand sections to help you learn everything you need to know about data science. In this book you will learn about the prerequisites of data science and the skills you need to become a data scientist. So, what are you waiting for? Grab your copy of this comprehensive guide now
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655823551
Total Pages : 304 pages
Book Rating : 4.8/5 (235 download)
Download or read book Analytics Team A Complete Guide - 2019 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-07-14 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you catch analytics team definition inconsistencies? Why is analytics team important for you now? Which analytics team data should be retained? What are the usability implications of analytics team actions? What are the concrete analytics team results? This easy Analytics Team self-assessment will make you the credible Analytics Team domain assessor by revealing just what you need to know to be fluent and ready for any Analytics Team challenge. How do I reduce the effort in the Analytics Team work to be done to get problems solved? How can I ensure that plans of action include every Analytics Team task and that every Analytics Team outcome is in place? How will I save time investigating strategic and tactical options and ensuring Analytics Team costs are low? How can I deliver tailored Analytics Team advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Analytics Team essentials are covered, from every angle: the Analytics Team self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Analytics Team outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Analytics Team practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Analytics Team are maximized with professional results. Your purchase includes access details to the Analytics Team self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Analytics Team Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Sabra Deal
Publisher :
ISBN 13 :
Total Pages : 64 pages
Book Rating : 4.7/5 (169 download)
Download or read book Data Science written by Sabra Deal and published by . This book was released on 2021-03-05 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process. There are many resources and courses online that you can use to learn more about data science, but with so much information available, it can become overwhelming. One of the best ways to learn about data science is to understand different machine learning concepts, statistics, and artificial intelligence to help you design models to perform an analysis. This book has all the information you need to learn what data science is, and what the prerequisites are to become a data scientist. In this book, you will: Learn what data science is about. Discover the difference between data science and business intelligence. Explore the tools required for data science. Find out the technical and non-technical skills every data scientist must have. Figure out how to create a visualization of the data set with clear and easy examples. Get advice on developing a Predictive Model Using R. Uncover detailed applications of data science. And much more! Buy it right now!
Author : Rafael A. Irizarry
Publisher : CRC Press
ISBN 13 : 1000708039
Total Pages : 794 pages
Book Rating : 4.0/5 (7 download)
Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
Author : Hien Nguyen
Publisher : Springer Nature
ISBN 13 : 9811519609
Total Pages : 271 pages
Book Rating : 4.8/5 (115 download)
Download or read book Statistics and Data Science written by Hien Nguyen and published by Springer Nature. This book was released on 2020-01-03 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Research School on Statistics and Data Science, RSSDS 2019, held in Melbourne, VIC, Australia, in July 2019. The 11 papers presented in this book were carefully reviewed and selected from 23 submissions. The volume also contains 7 invited talks. The workshop brought together academics, researchers, and industry practitioners of statistics and data science, to discuss numerous advances in the disciplines and their impact on the sciences and society. The topics covered are data analysis, data science, data mining, data visualization, bioinformatics, machine learning, neural networks, statistics, and probability.
