About the book Fighting Churn with Data teaches developers and data scientists proven techniques for stopping churn before it happens. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R details how data science is a combination of statistics, ... Found insideWith this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas ... If you want to be on the leading edge of what is sure to become a major profession in the not-too-distant future, this book can show you how. Rather than “implementing fast and learning slow,” the authors believe educators should adopt a more rigorous approach to improvement that allows the field to “learn fast to implement well.” The authors focus on six principles that ... Found inside – Page 1About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. This book will get you there. About the Book Think Like a Data Scientist teaches you a step-by-step approach to solving real-world data-centric problems. Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn ... Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Found inside – Page 1This 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. Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you. Found inside – Page ivToday, Data Science has become an indispensable part of every organization for ... you will be all set to start your journey of becoming a data scientist by ... Data scientists are the practitioners of this field and are the heroes of this book.Kate Strachnyi embarked on a journey to speak with some of the most influential leaders in this space (including DJ Patil, Former Chief Data Scientist of ... This book covers all the major topics within Machine Learning which are frequently asked in the Interviews. Found insideSo 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. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. "Provides a unified, insightful, modern, and entertaining treatment of analytics. The book covers the science of using data to build models, improve decisions, and ultimately add value to institutions and individuals"--Back cover. Found insideWritten by a founding pioneer and worldwide leading expert on data literacy, this book empowers professionals with the skills they need to succeed in the digital world. 50 Quotation puzzles from the pages of The New York Times Edited by Emily Cox and Harry Rathvon New York Times puzzles are America's favorite! Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to ... About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. Found insideThis essential book covers data mining, preparing data, analysing data, communicating data, financial modelling, visualizing insights and presenting data through film making and dynamic simulations. Found insideHal Varian Chief Economist at Google In This Chapter: What data science is and the history of its evolution The journey to becoming a data scientist ... Found insideWith this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Sold in over 85 countries and translated into more than 5 languages. Want to get started on data science? Our promise: no math added. This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Found insideThe book features: Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooks Never-before-published technical write ... Found insideBecome an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data ... "Designed to teach people to program even if they have no prior experience. When author Kate Strachnyi wanted to learn more about data science, she went straight to the source. Welcome It's a book to learn data science, machine learning and data analysis with tons of examples and explanations around several topics like: Exploratory data analysis Data preparation Selecting best variables Model performance Note: ... A comprehensive introduction to statistics that teaches the fundamentals with real-life scenarios, and covers histograms, quartiles, probability, Bayes' theorem, predictions, approximations, random samples, and related topics. Found inside – Page iLet this book be your guide. Data Science For Dummies is for working professionals and students interested in transforming an organization's sea of structured, semi-structured, and unstructured data into actionable business insights. 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. Found insideThe highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics ... Presents case studies and instructions on how to solve data analysis problems using Python. This guide also helps you understand the many data-mining techniques in use today. Found insideToday, Data Science has become an indispensable part of every organization, ... you will be all set to start your journey of becoming a data scientist by ... "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"-- While the text is biased against complex equations, a mathematical background is needed for advanced topics. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. If you are willing to understand more, this book is here to guide you. Found insideIn this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. Found inside – Page 1Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. This book includes: Data Science interview questions and answers; Help preparing for Machine Learning Interviews; Top 25 Interview Questions for Data Analyst/Scientist roles; An in-depth overview of Data Science Interview Process; How to ... Found insideLearn the techniques and math you need to start making sense of your data About This Book Enhance your knowledge of coding with data science theory for practical insight into data science and analysis More than just a math class, learn how ... The Data Science Handbook is a curated collection of 25 candid, honest and insightful interviews conducted with some of the world's top data scientists.In this book, you'll hear how the co-creator of the term 'data scientist' thinks about ... This book is specially written for those who know the basics of the Python programming language as well as the necessary Python libraries you need for data science like NumPy, Pandas, Matplotlib, Seaborn, Plotly, and Scikit-learn. Best of all, instructors can arrange to have eGrade Plus packaged FREE with new copies of Business Statistics for Contemporary Decision Making, Fourth Edition Update, All instructors have to do is adopt the eGrade Plus version of this book ... A guide to applying them based on Columbia University ’ s so clouded in hype iLet this book all. Your real-life challenges as you uncover the stories and value hidden within data topics within machine learning which are asked. 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