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Confident Data Skills

How to Work with Data & Futureproof Your Career

Paperback Engels 2020 9781789664386
Verkooppositie 3868
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Data has dramatically changed how our world works. Understanding and using data is now one of the most transferable and desirable skills. Whether you're an entrepreneur wanting to boost your business, a jobseeker looking for that employable edge, or simply hoping to make the most of your current career, Confident Data Skills is here to help.

This updated second edition takes you through the basics of data: from data mining and preparing and analysing your data, to visualizing and communicating your insights. It now contains exciting new content on neural networks and deep learning. Featuring in-depth international case studies from companies including Amazon, LinkedIn and Mike's Hard Lemonade Co, as well as easy-to understand language and inspiring advice and guidance, Confident Data Skills will 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 cyber security, the Confident books are the perfect beginner's resource for enhancing your professional life, whatever your career path.


Aantal pagina's:320
Uitgever:Kogan Page


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Zeer goed Goed Voldoende Matig Slecht

Over Kirill Eremenko

Kirill Eremenko is a data science entrepreneur, instructor and consultant. Kirill is the Founder and CEO of SuperDataScience, an online educational portal for data scientists. He is an expert in leveraging big data to drive business strategy, revamp customer experience and revolutionize business processes. Kirill is also passionate about delivering high-quality accessible digital education and has over 20 online courses on Udemy, taken by over 50,000 students worldwide.

Andere boeken door Kirill Eremenko


Chapter - 00: Introduction

Section - ONE: “What is it?” key principles
Chapter - 01: Defining data
Chapter - 02: How data fulfils our needs
Chapter - 03: The data science mindset

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

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