Confident Data Skills
How to Work with Data and Futureproof Your Career
(Sprache: Englisch)
Understand the basics of data - how to collect, analyse, present and apply it - and give your career a valuable, cutting-edge boost with this engaging and easy-to-read beginner's guide.
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Produktdetails
Produktinformationen zu „Confident Data Skills “
Understand the basics of data - how to collect, analyse, present and apply it - and give your career a valuable, cutting-edge boost with this engaging and easy-to-read beginner's guide.
Klappentext zu „Confident Data Skills “
Data has dramatically changed how our world works. Understanding and using data is now one of the most transferable and desirable skills out there - whether you're an entrepreneur wanting to boost your business, a job-seeker looking for that employable edge, or hoping to make the most of your current career. Learning how to work with data may seem intimidating or difficult - but don't worry, Confident Data Skills is here to help. This updated second edition takes you through the basics of data: from data mining and preparing and analyzing your data, to visualizing and communicating your insights, and now with exciting new content on neural networks and deep learning. Featuring in-depth international case studies from companies like Netflix, LinkedIn and Mike's Hard Lemonade Co., as well as easy-to understand language and inspiring advice and guidance, Confident Data Skills help you use your new-found data skills to give your career that cutting-edge boost.
About the Confident series...
From coding and web design to data, digital content and cybersecurity, the Confident books are the perfect beginner's resource for enhancing your professional life, whatever your career path..
Inhaltsverzeichnis zu „Confident Data Skills “
Chapter - 00: Introduction; Section - ONE: "What is it?" key principles; Chapter - 01: Defining data; Chapter - 02: How data fulfils our needs; Chapter - 03: AI and our Future; Section - TWO: "When and where can I get it?" data gathering and analysis; Chapter - 04: Identify the problem; Chapter - 05: Data preparation; Chapter - 06: Data analysis (part I); Chapter - 07: Data analysis (part II); Section - THREE: "How can I present it?" communicating data; Chapter - 08: Data visualization; Chapter - 09: Data presentation; Chapter - 10: Your career in data science
Autoren-Porträt von Kirill Eremenko
Kirill Eremenko is a data science entrepreneur, instructor and consultant. As Founder and CEO of SuperDataScience, he leverages data to drive business strategy, revamp customer experience, and revolutionize business processes. Kirill runs more than 50 online courses, taken by over 1,000,000 students worldwide.
Bibliographische Angaben
- Autor: Kirill Eremenko
- 2020, 2. Aufl., 320 Seiten, Maße: 14,2 x 21,3 cm, Kartoniert (TB), Englisch
- Verlag: Kogan Page
- ISBN-10: 1789664381
- ISBN-13: 9781789664386
- Erscheinungsdatum: 16.09.2020
Sprache:
Englisch
Pressezitat
"The most comprehensive book I have seen for those wanting to get into data science - what Harvard Business Review called 'the sexiest job of the 21st century'." Ben Taylor, Chief AI Evangelist, DataRobot
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