An introduction to the field of data analysis written in jargon-free language that is not bogged down by programming code and mathematical formulas. It covers the most essential topics in the fields of data science, machine learning and business intelligence that you are likely to come across on a regular basis.
The main goal is to help readers get the most out of their data, make business decisions and create information products - all without paying over the odds.
In a career spanning over 20 years, the author has worked as a junior data analyst, headed up the analytics division of an $10-billion company and co-founded a recommendation systems startup. The text was edited by a professional journalist. It contains QR codes and links with links you can follow if you want a deeper understanding of the topics covered.
The main goal is to help readers get the most out of their data, make business decisions and create information products - all without paying over the odds.
In a career spanning over 20 years, the author has worked as a junior data analyst, headed up the analytics division of an $10-billion company and co-founded a recommendation systems startup. The text was edited by a professional journalist. It contains QR codes and links with links you can follow if you want a deeper understanding of the topics covered.
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