Doing Data Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Doing Data Science write by Cathy O'Neil. This book was released on 2013-10-09. Doing Data Science available in PDF, EPUB and Kindle. Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.
R for Data Science
R for Data Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook R for Data Science write by Hadley Wickham. This book was released on 2016-12-12. R for Data Science available in PDF, EPUB and Kindle. 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
Doing Data Science in R
Doing Data Science in R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Doing Data Science in R write by Mark Andrews. This book was released on 2021-03-31. Doing Data Science in R available in PDF, EPUB and Kindle. This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences.
Doing Data Science
Doing Data Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Doing Data Science write by Cathy O'Neil. This book was released on 2013-10-09. Doing Data Science available in PDF, EPUB and Kindle. A guide to the usefulness of data science covers such topics as algorithms, logistic regression, financial modeling, data visualization, and data engineering.
A Hands-On Introduction to Data Science
A Hands-On Introduction to Data Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Hands-On Introduction to Data Science write by Chirag Shah. This book was released on 2020-04-02. A Hands-On Introduction to Data Science available in PDF, EPUB and Kindle. An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.
