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.
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.
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
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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