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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.…mehr
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.
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.
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 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
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