Lillian Pierson - Data Science For Dummies

15 Chapter 16FIGURE 16-1: Assessing your company’s current state.

16 Chapter 17FIGURE 17-1: Recommending a plan of action.FIGURE 17-2: An example of reference architecture.

17 Chapter 18FIGURE 18-1: Potential roles that can take you from entry-level to senior-level...FIGURE 18-2: Potential roles that can take you from entry-level to senior-level...FIGURE 18-3: Potential roles that can take you from entry-level to senior-level...FIGURE 18-4: The four types of currency.FIGURE 18-5: Data scientists, broken down by degree types. FIGURE 18-6: Data scientists, broken down by field of study. FIGURE 18-7: A map from within Jake Vanderplas’s instructional coding demonstra...FIGURE 18-8: The four best business models for remote, self-funded data science...FIGURE 18-9: The four best business models for remote, self-funded data science...

18 Chapter 19FIGURE 19-1: The index of insect records in Knoema’s search.FIGURE 19-2: The index of Apple records in a Quandl search.

19 Chapter 20FIGURE 20-1: An ImageQuilts output from the Google Images search term data scie ...FIGURE 20-2: A moderate-size graph on characters in the novel Les Misérables. ...FIGURE 20-3: A Gephi hairball graph of the US power grid.FIGURE 20-4: An interactive choropleth map in CARTO.FIGURE 20-5: An interactive bubble map in CARTO.FIGURE 20-6: A diagram from RAWCharts.FIGURE 20-7: A bar chart in Infogram.FIGURE 20-8: A bar chart in Piktochart.

1 Cover

2 Title Page

3 Copyright

4 Table of Contents

5 Begin Reading

6 Index

7 About the Author

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This book was written as much for expert data scientists as it was for aspiring ones. Its content represents a new approach to doing data science — one that puts business vision and profitably at the heart of our work as data scientists.

Data science and artificial intelligence (AI, for short) have disrupted the business world so radically that it's nearly unrecognizable compared to what things were like just 10 or 15 years ago. The good news is that most of these changes have made everyone’s lives and businesses more efficient, more fun, and dramatically more interesting. The bad news is that if you don’t yet have at least a modicum of data science competence, your business and employment prospects are growing dimmer by the moment.