Data Science from Scratch
How to Become a Data Scientist. Complete Guide to Learning the Data Science Process & What You Need to Know About: Analytics, Mining, Structures, Management, Driven, Privacy
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Data Science from Scratch
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Narrado por:
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Matthew Kinsey
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De:
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David Park
Acerca de esta escucha
Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is.
The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. A recent report explained that the need for these scientists has increased by more than 50 percent since last year. These scientists, often referred to as big data wranglers, are a perfect blend of mathematician and computer scientist.
Data science is a field of study that is growing at a fast pace. From big tech companies to e-commerce companies to websites and many others are now relying on data science, the amount of data that is collected by these companies are without any bounds. Semi-structured to big unstructured data is stored in large frameworks of these companies. Now, the question is how to use this.
What you will gain as knowledge in this book include:
- Why Is Data Science Widely Used?
- Why Should You Study Data Science?
- Why Should One Consider Data Science As A Career?
- Data Science: An Exciting Career Option
- Types of Data Loss and Recovery Options
- Data Science and Its Wide Range of Applications
- What Are the Programming Languages Required for Data Science?
- Meaning of Data Science in Depth
- 4 Weird Ways How Data Is Used Around the World
- 5 Reasons Why Data Science Could Be the Advertising Wave of the Future
It is a field where one should be trained and practiced. Without proper training and application skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques.
Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.
©2019 David Park (P)2019 David ParkRelacionado con este tema
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Data Science for Dummies
- 2nd Edition
- De: Lillian Pierson, Jake Porway - foreword
- Narrado por: Chloe Cannon
- Duración: 10 h y 28 m
- Versión completa
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General4 out of 5 stars 12
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Narración:4 out of 5 stars 10
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Historia3.5 out of 5 stars 10
Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.
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1 out of 5 stars
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Avoid as it is useless
- De Ras en 03-01-20
De: Lillian Pierson, y otros
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Data Science for Business
- What You Need to Know About Data Mining and Data-Analytic Thinking
- De: Foster Provost, Tom Fawcett
- Narrado por: Benjamin Lange
- Duración: 12 h y 46 m
- Versión completa
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General4.5 out of 5 stars 74
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Narración:4.5 out of 5 stars 64
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Historia4.5 out of 5 stars 63
Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
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5 out of 5 stars
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What I Was Looking For
- De Sean en 05-20-22
De: Foster Provost, y otros
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Data Science from Scratch
- Complete Guide to Learning the Data Science Process & What You Need to Know About: Analytics, Mining, Structures, Management, Driven, Privacy
- De: David Park
- Narrado por: Matthew Kinsey
- Duración: 3 h y 7 m
- Versión completa
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General4.5 out of 5 stars 26
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Narración:4.5 out of 5 stars 26
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Historia4.5 out of 5 stars 26
Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. It is a field where one should be trained and practiced. Without proper training and applicative skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques. Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.
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1 out of 5 stars
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5 hours to say 5 sentences
- De Amazon Customer en 11-08-20
De: David Park
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Fundamentals of Data Analytics
- Learn Essential Skills, Embrace the Future, and Catapult Your Career in the Data-Driven World—A Comprehensive Guide to Data Literacy for Beginners
- De: Russell Dawson
- Narrado por: Michael F. Ward
- Duración: 4 h y 20 m
- Versión completa
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General5 out of 5 stars 56
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Narración:5 out of 5 stars 56
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Historia5 out of 5 stars 56
Gain a competitive edge in today’s data-driven world and build a rich career as a data professional that drives business success and innovation… Today, data is everywhere… and it has become the essential building block of this modern society. And that’s why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.
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5 out of 5 stars
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The Ultimate Guide to Building a Successful Career
- De chen06 en 01-29-24
De: Russell Dawson
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Build a Career in Data Science
- De: Emily Robinson, Jacqueline Nolis
- Narrado por: Jeromy Lloyd
- Duración: 14 h y 48 m
- Versión completa
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General5 out of 5 stars 17
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Narración:5 out of 5 stars 16
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Historia5 out of 5 stars 16
You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee.
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5 out of 5 stars
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Excellent complement to an introductory course in Data Science
- De Basheer en 07-15-21
De: Emily Robinson, y otros
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Storytelling with Data
- A Data Visualization Guide for Business Professionals
- De: Cole Nussbaumer Knaflic
- Narrado por: Cole Nussbaumer Knaflic
- Duración: 5 h y 43 m
- Versión completa
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General4.5 out of 5 stars 433
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Narración:4.5 out of 5 stars 369
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Historia4.5 out of 5 stars 366
Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.
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4 out of 5 stars
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Very insightful and actionable
- De Amazon Customer en 04-27-18