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Python for Data Science: 2 Books in 1. A Practical Beginner’s Guide to learn Python Programming, introducing into Data Analytics, Machine learning, Web Development, with Hands-on Projects
Python is the most popular programming language of the 21st century and data scientist is the most requested job of the 21st century. So anyone with skills in both data science and Python will be in great demand in industry.
Python for Data Science: 2 Books in 1. A Practical Beginner’s Guide to learn Python Programming, introducing into Data Analytics, Machine learning, Web Development, with Hands-on Projects
vare #: 105765166

Python for Data Science: 2 Books in 1. A Practical Beginner’s Guide to learn Python Programming, introducing into Data Analytics, Machine learning,

vare #: 105765166

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Python is the most popular programming language of the 21st century and data scientist is the most requested job of the 21st century. So anyone with skills in both data science and Python will be in great demand in industry.
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Det som utmerker seg

Comprehensive Coverage
This book offers extensive insights into Python programming, data analytics, machine learning, and web development, making it a well-rounded resource for beginners aiming to understand multiple aspects of data science.
Hands-On Projects
Includes practical projects that allow readers to apply theoretical knowledge, enhancing learning retention and practical skills, essential for aspiring data scientists seeking real-world experience.
Beginner-Friendly
Designed specifically for beginners, this guide breaks down complex concepts into easily digestible lessons, promoting confidence in programming and data analysis without overwhelming newcomers.

Produkt detaljer

Shop Python for Data Science: 2 Books in 1. A Practical Beginner’s Guide to learn Python Programming, introducing into Data Analytics, Machine learning, Web Development, with Hands-on Projects online at a best price in NORGE. B08M8DHZ34
  • A comprehensive guide containing 2 books in 1: Python crash course and Python for data analysis
  • Covers a wide range of topics including data science technologies, machine learning, data analysis with Python, and data visualization with Python
  • Designed to simplify the visualization and analysis of data and creation of machine learning models and artificial intelligence using Python
  • Ideal for beginners and does not require expensive textbooks
  • Includes hands-on projects for practical learning
  • Suitable for those interested in pursuing a career in data science, machine learning, and web development using Python
Publisher Independently published
Publication date 27 Oct. 2020
Language English
Print length 265 pages
ISBN-13 979-8554509728
Item weight 358 g
Dimensions 15.24 x 1.52 x 22.86 cm

Hvem passer produktet for?

Suitable For
  • Absolute Beginners

    Perfect for those starting with programming, as it introduces Python basics clearly and practically.

  • Data Enthusiasts

    Great for individuals interested in data analytics and machine learning, providing relevant hands-on projects.

  • Career Switchers

    Ideal for professionals transitioning to tech roles, as it covers both programming and development skills.

Not Suitable For
  • Advanced Programmers

    Not suitable for experienced coders, as it doesn’t cover advanced Python topics or complex algorithms.

PRODUKTBESKRIVELSE

Python for Data Science: 2 Books in 1. A Practical Beginner’s Guide to learn Python Programming, introducing into Data Analytics, Machine learning, Web Development, with Hands-on Projects

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Introduction Editorial Review

Python For Data Science 2 Books In 1 offers a comprehensive guide for beginners looking to dive into Python programming alongside data analytics, machine learning, and web development. The book is independently published and spans 265 pages, providing readers with hands-on projects that enhance practical learning. With an approachable style, it demystifies complex topics, making them accessible. The publication date of 27 Oct. 2020 indicates that it presents relatively current trends and methodologies in the tech field. Utilization of this resource can help you develop a broad skill set in programming essential for aspiring data scientists.

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Fordeler

  • Comprehensive coverage of Python and data science
  • Hands-on projects for practical learning
  • Accessible for beginners in programming
  • Suitable for both analytics and web development
  • Well-structured for quick reference

Ulemper

  • Print length may feel extensive for some learners

Produktets prishistorikk

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