Journey To Data Scientist
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Journey To Data Scientist
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Author : Kate Strachnyi
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-11-13
Journey To Data Scientist written by Kate Strachnyi and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-13 with categories.
When author Kate Strachnyi wanted to learn more about data science, she went straight to the source. In a series of more than twenty interviews, she asks leading data scientists questions about starting in the field and the future of the industry. With their stories, learn about the many different positions available for data scientists, the criteria recruiters look for when hiring, the best options for building your portfolio, the recruitment and interviewing process, the typical workday for a data scientist, the changing industry and its impact on other industries, the wide variety of projects that use data science, and the skills that can complement and improve your work. Strachnyi's interview subjects include team members from some of the world's largest organizations, including LinkedIn, Pinterest, Bloomberg, and IBM. These men and women graciously explain how they fell in love with data science and list the must-have skills that would make you an invaluable member of a team. Their advice gives you invaluable insight into the world of data science and the best ways you yourself can contribute to amazing research projects and the development of new technology.
Data Science From Scratch
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Author : Joel Grus
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2015-04-14
Data Science From Scratch written by Joel Grus and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-14 with Computers categories.
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
From Zero To Hero
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Author : William Webb
language : en
Publisher:
Release Date : 2023-05-23
From Zero To Hero written by William Webb and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with categories.
In a world driven by data, navigating the complex landscape of data science is both an essential skill and a formidable challenge. Here is a book that transforms that challenge into a journey of discovery. This guide walks you through the intricate alleys of the data science field, presenting complex concepts in a conversational and engaging tone. Whether you are a budding data enthusiast, an aspiring data scientist, or a seasoned professional, this book has something for everyone. Starting with an introduction to the world of big data, the book methodically explores key concepts and tools of the trade such as Hadoop, Spark, and Python. The journey continues through specialized topics like Time Series Analysis and Recommender Systems, before moving into the critical aspects of portfolio building and job interviews. Beyond the technical, it also touches upon the softer but equally important aspects of communication, collaboration, and continuous learning in the field of data science. It serves not merely as an educational resource but as a compass, guiding you towards the right books, online courses, and communities to further expand your horizons. In the end, this guide helps you understand your role in this vibrant, ever-evolving field, preparing you not just for a career, but a lifelong adventure in data science. Discover, learn, and grow with a book that talks not just about data, but about the people, passion, and potential behind it.
Our Journey With Data Science Series I Part A
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Author : N a Mahalakshmi Srinivasan
language : en
Publisher: Independently Published
Release Date : 2020-06-10
Our Journey With Data Science Series I Part A written by N a Mahalakshmi Srinivasan and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-10 with categories.
'Our Journey With Data Science' is a book series for those interested in the field of Data Science. Written in simplest language, one would get an idea of the ingredients of Data Science recipe. Having said this, Data Science is a vast subject on its own and requires expertise to use this science at the optimal best.Data Science is emerging to be an integral part of our lives. Knowingly or unknowingly, we are leveraging the benefits of data science. With advancement in technologies and this being an era of big data, data science has become an even more prominent figure in our day-to-day lives. I've used the tools of data science and have seen the kind of leads one could get with it. With the demand for Data Scientists all set to increase, I wished to pen down what I've learnt in data science. I would like you to join this journey to know more about data science.Organization Of This Book: "Our Journey With Data Science" is a topic to be covered in a series of books, with Series I (Part A and Part B) being introductory for those who wish to introduce themselves to this field. It also has some important fundamentals covered about the components of data science that enable us in reaching the destination of decision making. This book - Part A (Introductory) of Series I book shall cover about: 1.Data science and Industries, 2.An introduction to R walking through basic concepts, following which the reader could explore the tool on their own, 3.A case study which highlights the importance of data science and that it is far more than just querying a database,4.Data Warehouse.The Series I - Part B (Introductory) shall cover topics on Data Mining, Statistics, Machine Learning that shall complete the journey of Data Science to enable decision making. Data Science is a core component of BI (Business Intelligence). Series I (Part A and Part B) are introductory. The Series II shall cover each of the Series I topic in detail. Data Science is a vast topic and Series I is written with an aim for one to understand the set of components that constitute Data Science.
Data Science Workflow For Beginners
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Author : Alejandro Garcia
language : en
Publisher: Alejandro Garcia
Release Date :
Data Science Workflow For Beginners written by Alejandro Garcia and has been published by Alejandro Garcia this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book brings to you a simple yet effective 40 to 60 mins introduction that will clear all your doubts about Data Sience and will answer some important questions like: What is data Science ? The book explores all the initial concepts a person might want to know about the data science workflow. There’s not coding, math or statistics required to successfully understand the goals and end results of this process. This book takes you on an exclusive tour of datasets and sites to download your first datasets. Then jumps into a comprehensive and easy-to-follow data science process letting you go through 3 data visualization projects. (Python Code Understanding is Recommended for the Data Visualization projects) - 40 to 60 mins reading time. - 3 Data Visualization projects. - 10 Datasets sources. - 26 Quality datasets for your first visualizations. - Get the code and reuse in your own projects. The ebook covers: - Intro to Data Science. - The Workflow of Data Science. - Data Science and Machine Learning. - Datasets to start right away. - Data Visualization Projects. (Python Code Understanding Recommended)
A Hands On Introduction To Data Science
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Author : Chirag Shah
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-02
A Hands On Introduction To Data Science written by Chirag Shah and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-02 with Business & Economics categories.
An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.
Data Science Made Simple A Beginner S Journey For All
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Author : M.B. Chatfield
language : en
Publisher: M.B, Chatfield
Release Date :
Data Science Made Simple A Beginner S Journey For All written by M.B. Chatfield and has been published by M.B, Chatfield this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unleash the power of data science to make informed decisions, solve problems, and innovate. Data science is a rapidly growing field that is changing the way we live, work, and learn. It is the process of extracting knowledge and insights from data, and it can be used to solve a wide range of problems. Data Science Made Simple is the perfect resource for anyone who wants to learn the basics of data science. This comprehensive guide covers everything you need to know, from the basics of data science to advanced topics such as machine learning and artificial intelligence. With clear explanations, this book will help you: Understand the basics of data science Choose the right data science tools and techniques for your task Collect, clean, and analyze data Build data science models Communicate your data science findings Whether you're a student, a business professional, or a data enthusiast, Data Science Made Simple is the essential resource for learning about data science. Here are some of the key topics covered in the book: Introduction to data science Data collection Data cleaning Data analysis Data modeling Data communication With Data Science Made Simple, you'll be well on your way to becoming a data science expert. If you are a beginner who wants to learn about data science, Data Science Made Simple is a great place to start.
The Essentials Of Data Science Knowledge Discovery Using R
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Author : Graham J. Williams
language : en
Publisher: CRC Press
Release Date : 2017-07-28
The Essentials Of Data Science Knowledge Discovery Using R written by Graham J. Williams and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-28 with Business & Economics categories.
The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from data. Building on over thirty years’ experience in teaching and practising data science, the author encourages a programming-by-example approach to ensure students and practitioners attune to the practise of data science while building their data skills. Proven frameworks are provided as reusable templates. Real world case studies then provide insight for the data scientist to swiftly adapt the templates to new tasks and datasets. The book begins by introducing data science. It then reviews R’s capabilities for analysing data by writing computer programs. These programs are developed and explained step by step. From analysing and visualising data, the framework moves on to tried and tested machine learning techniques for predictive modelling and knowledge discovery. Literate programming and a consistent style are a focus throughout the book.
Step Up For Leadership In Enterprise Data Science Artificial Intelligence With Big Data
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Author : Shitalkumar R Sukhdeve
language : en
Publisher: Independently Published
Release Date : 2020-11-27
Step Up For Leadership In Enterprise Data Science Artificial Intelligence With Big Data written by Shitalkumar R Sukhdeve and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-27 with categories.
Review: "I would recommend this book to all prospective data scientists - as well as those software professionals who choose to transfer or migrate to the domain of data science. It is a useful addition to the body of work already available to guide project managers of data science projects." Lt Col (Dr) Rajesh Kapur (Retd), AI Investor, Asst. Prof. TIMSCDR, Hyderabad, India "It's a masterpiece of work for the aspiring leaders of data science and AI. It's also a guide for executives and investors to get maximum value from their investment in AI. Beginners in data science can also get the most out of this book.", Jay Ojha, Business intelligence and analytics manager, HCL Infosystem LtdWhy should you read this book? 87% of data science project fails to make to production in enterprises. Only 50% is the data leadership success rate. Is it not surprising to know when data science and AI are in the top trend? If you are looking for a career in data science or looking for leadership, these insights may disturb you. Don't worry, "Step up for Leadership in Enterprise Data Science & Artificial Intelligence with Big Data." will -Burst the myths around data science, AI & big data-Presents the real business scenarios -Take you on the journey of data science, AI & big data even if you are an ultimate beginner.-Introduce you to the essential skills of success in this field -Develop a leadership mindset by cutting edge methodologies & strategies-Make you aware of technical trends around it-Develop technical skills with R, Python, Machine learning with big data as well as business skills-Reduce failure possibility and increase the chance of success by covering the 360 degrees view of the field. Each day counts. So as your steps. Step up immediately and begin your journey to your dreams of data science and AI.
Solving Data Science Case Studies With Python
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Author : Aman Kharwal
language : en
Publisher: Thecleverprogrammer
Release Date : 2021-06-28
Solving Data Science Case Studies With Python written by Aman Kharwal and has been published by Thecleverprogrammer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-28 with Computers categories.
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. This book aims to teach you how to think while solving a business problem with your data science skills. To achieve the goal of this book, I started by giving you all the knowledge you need to have before you apply for your first data science job. The technical skills and soft skills you need to become a Data Scientist are also discussed in this book. Next, you'll find some of the best data science case studies that will help you understand what your approach should be while solving a business problem. Ultimately, you will also find some of the most important data science interview questions with their solutions at the end. I hope this book will add a lot of value to your data science skills and that you will feel confident in your entire journey to become Data Scientist.