Shop Practical Data Science Paperback online in Dubai, Abu Dhabi and all UAE
imageGalleryImg

Practical Data Science Paperback

Was:AED 217.40

Now:AED 173.95(Inclusive of VAT)

Saving:AED 43.4519% Off

Quantity
1

1 other offer fromAED 184.65

View All Offers

2 Offers Available

  • AED 173.95AED 21719% Off

    Order in the next 22 hrs 11 mins and receive it by Sat, Dec 21

    Sold by Bookfalcons

  • AED 184.65

    Order in the next 22 hrs 11 mins and receive it by Wed, Dec 25

    Sold by WISDOMKITAB

Enjoy hassle free returns with this offer.

  • Trusted ShippingFree shipping
  • Easy ReturnsFree returns on eligible items so you can shop with ease
  • Secure ShoppingYour data is always protected

Specifications

AuthorAndreas Francois Vermeulen
LanguageEnglish
PublisheraPress
Publication Date01 Mar 2018
Book DescriptionLearn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets. The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions. What You'll Learn Become fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results Who This Book Is For Data scientists and data engineers who are required to convert data from a data lake into actionable knowledge for their business, and students who aspire to be data scientists and data engineers
About the AuthorAndreas Francois Vermeulen is Consulting Manager - Business Intelligence, Big Data, Data Science, Machine Learning, and Computational Analytics at Sopra-Steria, and a doctoral researcher at University St. Andrews on future concepts in massive distributed computing, mechatronics, big data, business intelligence, and deep learning. He owns and incubates the "Rapid Information Factory" data processing framework. He is active in developing next-generation processing frameworks and mechatronics engineering with over 35 years of international experience in data processing, software development, and system architecture. Andre is a data scientist, doctoral trainer, corporate consultant, principal systems architect, and speaker/author/columnist on data science, distributed computing, big data, business intelligence, deep learning, and constraint programming. Andre received his bachelor degree at the North West University at Potchefstroom, his Master of Business Administration at University of Manchester, Master of Business Intelligence and Data Science degree at University of Dundee, and Doctor of Philosophy at University of St Andrews.
Number of Pages805
productboxImg_v1547473248/N20299930A_1

Practical Data Science Paperback

Cart Total

AED 0.00