Read Roman's Data Science: How to monetize your data

Roman's Data Science: How to monetize your data

Roman Zykov

4.9/5 (19709 ratings)

Description: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.This book is intended for readers who want to try their hand at data analysis and develop data-driven services. Here are some facts about it:- In Russia, the book was sold out in three weeks.- The book is based on the author's personal experience - it is not a boring textbook!- It provides a complete Data Science picture without coding and math.Those who are new to data science will learn exactly what the business needs in this area are, as well as different approaches to data analysis and an effective way to master machine learning.Startups will learn how to get their data science divisions up and running quickly. They will also be introduced to three approaches to analyzing A/B tests.Managers will learn about task management, money efficiency and the hypothesis pipeline in data science.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Roman's Data Science: How to monetize your data. To get started finding Roman's Data Science: How to monetize your data, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 245

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: 2021

ISBN

Description: 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.This book is intended for readers who want to try their hand at data analysis and develop data-driven services. Here are some facts about it:- In Russia, the book was sold out in three weeks.- The book is based on the author's personal experience - it is not a boring textbook!- It provides a complete Data Science picture without coding and math.Those who are new to data science will learn exactly what the business needs in this area are, as well as different approaches to data analysis and an effective way to master machine learning.Startups will learn how to get their data science divisions up and running quickly. They will also be introduced to three approaches to analyzing A/B tests.Managers will learn about task management, money efficiency and the hypothesis pipeline in data science.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Roman's Data Science: How to monetize your data. To get started finding Roman's Data Science: How to monetize your data, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Roman's Data Science: How to monetize your data

Roman's Data Science: How to monetize your data

More Books

Recognition and Enforcement of Foreign Arbitral Awards in Russia and Former USSR States

Recognition and Enforcement of Foreign Arbitral Awards in Russia and Former USSR States

Fonetika russkago i drevne-t︠s︡erkovno-slavi︠a︡nskago i︠a︡zyka : opyt ėlementarnago izlozhenīi︠a︡ teorīi zvukov nazvannykh i︠a︡zykov / P.P. Romanovich. 1885 [Leather Bound]

Fonetika russkago i drevne-t︠s︡erkovno-slavi︠a︡nskago i︠a︡zyka : opyt ėlementarnago izlozhenīi︠a︡ teorīi zvukov nazvannykh i︠a︡zykov / P.P. Romanovich. 1885 [Leather Bound]

Sravnitelʹnai︠a︡ morfologīi︠a︡ slavi︠a︡nskikh i︠a︡zykov / sochinenīe Frant︠s︡a Mikloshicha ; perevel Nikolaĭ Shli︠a︡kov ; pod red. Romana Brandta. Volume 1889 1889 [Leather Bound]

Sravnitelʹnai︠a︡ morfologīi︠a︡ slavi︠a︡nskikh i︠a︡zykov / sochinenīe Frant︠s︡a Mikloshicha ; perevel Nikolaĭ Shli︠a︡kov ; pod red. Romana Brandta. Volume 1889 1889 [Leather Bound]

I͡A︡zyk i vremi͡a︡ =: Théorie et didactique des langues romanes : tezisy dokladov Mezhdunarodnogo simpoziuma "Teorii͡a︡ i metody prepodavanii͡a︡ romanskikh i͡a︡zykov" (Russian Edition)

I͡A︡zyk i vremi͡a︡ =: Théorie et didactique des langues romanes : tezisy dokladov Mezhdunarodnogo simpoziuma "Teorii͡a︡ i metody prepodavanii͡a︡ romanskikh i͡a︡zykov" (Russian Edition)

Sravnitelʹnai︠a︡ morfologīi︠a︡ slavi︠a︡nskikh i︠a︡zykov / sochinenīe Frant︠s︡a Mikloshicha ; perevel Nikolaĭ Shli︠a︡kov ; pod red. Romana Brandta.,Сравнительная морфологія славянски [Leather Bound]

Sravnitelʹnai︠a︡ morfologīi︠a︡ slavi︠a︡nskikh i︠a︡zykov / sochinenīe Frant︠s︡a Mikloshicha ; perevel Nikolaĭ Shli︠a︡kov ; pod red. Romana Brandta.,Сравнительная морфологія славянски [Leather Bound]

Leksicheskai͡a︡ i grammaticheskai͡a︡ semantika romanskikh i germanskikh i͡a︡zykov: Romano-germanskai͡a︡ filologii͡a︡ : mezhvuzovskiĭ sbornik (Russian Edition)

Leksicheskai͡a︡ i grammaticheskai͡a︡ semantika romanskikh i germanskikh i͡a︡zykov: Romano-germanskai͡a︡ filologii͡a︡ : mezhvuzovskiĭ sbornik (Russian Edition)

Sovremennye pragmalingvisticheskie issledovanii͡a︡ romanskikh, germanskikh i russkogo i͡a︡zykov: Sbornik nauchnykh stateĭ (Russian Edition)

Sovremennye pragmalingvisticheskie issledovanii͡a︡ romanskikh, germanskikh i russkogo i͡a︡zykov: Sbornik nauchnykh stateĭ (Russian Edition)

Problemy lingvistiki teksta: Na materiale romanskikh i͡a︡zykov : mezhvuzovskiĭ sbornik nauchnykh trudov (Russian Edition)

Problemy lingvistiki teksta: Na materiale romanskikh i͡a︡zykov : mezhvuzovskiĭ sbornik nauchnykh trudov (Russian Edition)

Istorii͡a︡ i sovremennoe sostoi͡a︡nie ibero-romanskikh i͡a︡zykov (Filologii͡a︡) (Russian Edition)

Istorii͡a︡ i sovremennoe sostoi͡a︡nie ibero-romanskikh i͡a︡zykov (Filologii͡a︡) (Russian Edition)