Confident Data Skills

How to Work with Data and Futureproof Your Career
2. Auflage 2020
ISBN: 978-1-78966-438-6
Verlag: Kogan Page

Buch, Englisch, 320 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 602 g

Reihe: Confident Series

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.

Autoren/Hrsg.

Eremenko, Kirill

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Wirtschaftswissenschaften Wirtschaft: Sachbuch, Ratgeber
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

• • 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

Über Autor(innen)

Eremenko, Kirill
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.

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.