Confident Data Science: Discover the Essential Skills of Data Science
- 4h 53m
- Adam Ross Nelson
- Kogan Page
- 2023
The global data market is estimated to be worth $64 billion dollars, making it a more valuable resource than oil. But data is useless without the analysis, interpretation and innovations of data scientists.
With Confident Data Science, learn the essential skills and build your confidence in this sector through key insights and practical tools for success. In this book, you will discover all of the skills you need to understand this discipline, from primers on the key analytic and visualization tools to tips for pitching to and working with clients.
Adam Ross Nelson draws upon his expertise as a data science consultant and, as someone who made moved into the industry late in his career, to provide an overview of data science, including its key concepts, its history and the knowledge required to become a successful data scientist. Whether you are considering a career in this industry or simply looking to expand your knowledge, Confident Data Science is the essential guide to the world of data science.
About the Confident series...
From coding and data science to cloud and cyber security, the Confident books are perfect for building your technical knowledge and enhancing your professional career.
About the Author
Adam Ross Nelson is a data science consultant and career coach based in Washington D.C. As a consultant, he provides insights on data science, machine learning and data governance. He previously worked as a data scientist at The Common Application.
Having transitioned into the data science field from his career as an attorney, he offers workshops, talks and online courses for those looking to develop their data science skills, pivot their career or improve their career trajectory.
In this Book
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Preface
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Introduction
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Genres and Flavours of Analysis
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Ethics and Data Culture
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Data Science Processes
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Data Exploration
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Data Manipulation and Preparation
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Data Science Examples
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A Weekend Crash Course
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Data
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Data Visualization
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Business Values and Clients
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List of Data Sources
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Notes
