Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career Front Cover

Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career

  • Length: 272 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2018-01-28
  • ISBN-10: 0749481544
  • ISBN-13: 9780749481544
  • Sales Rank: #174485 (See Top 100 Books)
Description

Data science is the most exciting skill you can master. Data has dramatically changed how our world works. From entertainment to politics, from technology to advertising and from science to the business world, data is integral and its only limit is our imagination. If you want to have a vibrant and valuable professional life, being skilled with data is the key to a cutting-edge career. Learning how to work with data may seem intimidating or difficult but with Confident Data Skills you will be able to master the fundamentals and supercharge your professional abilities. This essential book covers data mining, preparing data, analysing data, communicating data, financial modelling, visualizing insights and presenting data through film making and dynamic simulations.

In-depth international case studies from a wide range of organizations, including Netflix, LinkedIn, Goodreads, Deep Blue, Alpha Go and Mike’s Hard Lemonade Co. show successful data techniques in practice and inspire you to turn knowledge into innovation. Confident Data Skills also provides insightful guidance on how you can use data skills to enhance your employability and improve how your industry or company works through your data skills. Expert author and instructor, Kirill Eremenko, is committed to making the complex simple and inspiring you to have the confidence to develop an understanding, adeptness and love of data.

Table of Contents

PART ONE ‘What is it?’ Key principles
Chapter 01 Defining Data
Chapter 02 How Data Fulfils Our Needs
Chapter 03 The Data Science Mindset

PART TWO ‘When and where can I get it?’ Data gathering and analysis
Chapter 04 Identify The Question
Chapter 05 Data Preparation
Chapter 06 Data Analysis Part 1
Chapter 07 Data Analysis Part 2

PART 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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