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VOOZH | about |
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VOOZH | about |
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Data has dramatically changed how our world works. Understanding and using data is now one of the most transferable and desirable skills.
Whether you're an entrepreneur wanting to boost your business, a jobseeker looking for that employable edge, or simply hoping to make the most of your current career, Confident Data Skills is here to help.
This updated second edition takes you through the basics of data: from data mining and preparing and analysing your data, to visualizing and communicating your insights. It now contains exciting new content on neural networks and deep learning. Featuring in-depth international case studies from companies including Amazon, LinkedIn and Mike's Hard Lemonade Co, as well as easy-to understand language and inspiring advice and guidance, Confident Data Skills will help you use your new-found data skills to give your career that cutting-edge boost.
About the Confident series...
From coding and web design to data, digital content and cyber security, the Confident books are the perfect beginner's resource for enhancing your professional life, whatever your career path.
Kirill Eremenko (1989) is a multilingual entrepreneur with 7 years of experience in Data Science and 8 years of experience in the space of education.
As a Data Science management consultant, Kirill was trained by the best analytics mentors at Deloitte Australia to leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.
Kirill created 25+ online courses and reached over 2 million students worldwide, hosted a successful SuperDataScience podcast, and regularly presents on Big Data at leading Australian universities and industry events.
Kirill is absolutely and utterly passionate about Data Science and delivering high-quality accessible education to every human on this planet. Kirill is looking forward to sharing his passion and knowledge with you!
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Learn more how customers reviews work on Amazonvery good book
I would not recommend this book at all to anyone interested in data science. I had to read this book because it was a mandatory reading for a class in the graduate school program I am currently in. The author fills the pages with a tremendous amount of irrelevant information, fluff, clichés and personal stories from an outdated podcast of his. The information provided is so general, basic and high level that it borders on useless. I would have much rather spent my time doing an online course in data science, there are many programs such as datacamp, udemy, etc. Please dont read this book unless you are forced to
The book describes the intuition of many algorithms without focusing on the details so the reader can get the idea of when to apply each of them and how they work in general. I think it's a great addition to everyone even more advanced professionals, since it can help explain and transfer the knowledge to less experience people
Everything come sense to me to update my statistics knowledge. Now machine learning can help us to improve everything.
