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4.8
14 reviewsData Science in Practice includes many examples, notes on errors, decision-making aids and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles.
Key Features: Success factors and tools for all project phases Includes application examples for various subject areas Introduces many aspects of Data Science, from requirements analysis to data acquisition and visualization