About this product

Product Identifiers

PublisherLulu Press, Inc.

ISBN-101447826558

ISBN-139781447826552

eBay Product ID (ePID)13062937215

Product Key Features

Number of Pages286 Pages

Publication NameBeginner's Guide to Data Science : How to Dive Into the Data Ocean Without Drowning

LanguageEnglish

Publication Year2023

SubjectData Modeling & Design, Computer Science, Data Processing

TypeTextbook

AuthorEnamul Haque

Subject AreaComputers

FormatTrade Paperback

Dimensions

Item Height0.7 in

Item Weight17.7 Oz

Item Length9 in

Item Width6 in

Additional Product Features

Intended AudienceTrade

TitleLeadingA

SynopsisThis book is designed for aspiring data scientists who want to start their careers in data science, even if they don't have coding skills. It provides a comprehensive introduction to the foundations of data science and its applications, using simple language that is easy for beginners to understand. No technical expertise is required to master the material in this book. It is an ideal resource for anyone looking to learn about data science in an accessible and straightforward way. Key features include: Introduction to data science History of data science Data science life-cycle Data science tools and technologies Data science methodology Data science models Developing data science business strategy Managing data science projects Becoming a data scientist, data engineer etc. Big data Data Mining Artificial intelligence Machine learning Deep learning Neural networks Mathematical analysis Statistical modelling Understanding the fundamentals of data science programming languages Database structures and principles Robotic Process Automation Data science acronyms You need to know And a lot more., This book is designed for aspiring data scientists who want to start their careers in data science, even if they don't have coding skills. It provides a comprehensive introduction to the foundations of data science and its applications, using simple language that is easy for beginners to understand. No technical expertise is required to master the material in this book. It is an ideal resource for anyone looking to learn about data science in an accessible and straightforward way.Key features include:Introduction to data scienceHistory of data scienceData science life-cycleData science tools and technologiesData science methodologyData science modelsDeveloping data science business strategyManaging data science projectsBecoming a data scientist, data engineer etc.Big dataData MiningArtificial intelligenceMachine learningDeep learningNeural networksMathematical analysisStatistical modellingUnderstanding the fundamentals of data science programming languagesDatabase structures and principlesRobotic Process AutomationData science acronyms You need to knowAnd a lot more.