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Confident Data Skills (Confident Series)
作者 Kirill Eremenko
出版社 Kogan Page
ISBN 9780749481544
分類 Business & Finance > Management & Leadership
價格 HK$208.00
 
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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.


About the Author:

Kirill Eremenko is a data science entrepreneur, instructor and consultant. He is the Founder and CEO of SuperDataScience, an online educational portal for data scientists. He is an expert in leveraging big data to drive business strategy, revamp customer experience and revolutionize business processes. Eremenko is also passionate about delivering high-quality accessible digital education and runs over 20 online courses, taken by over 100,000 students worldwide.




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