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Managing Data Science : Effective Strategies to Manage Data Science Projects and Build a Sustainable Team by Kirill Dubovikov [Kirill Dubovikov] is a self-help book available to read on EtoBox.

What is Managing Data Science : Effective Strategies to Manage Data Science Projects and Build a Sustainable Team about?

Annotation Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, AnacondaKey Features-Use Anaconda to find solutions for clustering, classification, and linear regression-Analyze your data efficiently with the most powerful data science stack-Use the Anaconda cloud to store, share, and discover projects and librariesBook DescriptionAnaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world. The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more. You'll walk through package manager Conda, through which you can automatically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You'll explore all the essentials of data science and linear algebra to perform data science tasks using pa

Who reads Managing Data Science : Effective Strategies to Manage Data Science Projects and Build a Sustainable Team?

Author

Kirill Dubovikov [Kirill Dubovikov]

Publisher

Packt Publishing, Limited; Packt Publishing

Published

2019

Language

EN

ISBN

9780062407801

Category

self-help

Subjects

Management, Science, Education

Rating

3.99 / 5 (663 ratings)

Updated

2026-03-14