Kirill Eremenko

Confident Data Skills (eBook, ePUB)

How to Work with Data and Futureproof Your Career

• Format: ePub

Produktbeschreibung

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.

Produktdetails

• Verlag: Kogan Page
• Seitenzahl: 320
• Erscheinungstermin: 10. September 2020
• Englisch
• ISBN-13: 9781789664393
• Artikelnr.: 60093095

Autorenporträt

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.

Inhaltsangabe

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

---

• • 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

Rezensionen

"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