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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,
76% of respondents would recommend this to a friend
MYR 205
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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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What Stands Out
Maklumat produk
- 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 |
Who Should Buy?
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Absolute Beginners
Perfect for those starting with programming, as it introduces Python basics clearly and practically.
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Data Enthusiasts
Great for individuals interested in data analytics and machine learning, providing relevant hands-on projects.
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Career Switchers
Ideal for professionals transitioning to tech roles, as it covers both programming and development skills.
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Advanced Programmers
Not suitable for experienced coders, as it doesn’t cover advanced Python topics or complex algorithms.
PENERANGAN PRODUK
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.
Customer Reviews & Ratings
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Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- 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
Keburukan
- Print length may feel extensive for some learners
Product Price History
Maklumat penting
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MYR 205
Pesan sekarang dan dapatkannya lebih kurang pada Monday, Oktober 12
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Ciri & Faedah
- Python is the most popular programming language of the 21st century.
- Data scientist is the most requested job of the 21st century.
- Python is everywhere and is used for machine learning, data analytics, data processing, web development, enterprise software development and even taking photos of Blackhole.
- Python is versatile and intuitive, yet also sturdy and robust.
- The book covers Python crash course, Python for data analysis, the world of data science technologies, application of machine learning, data analysis and visualization with Python and projects on Python.
- Learning Python and data analysis doesn't require an expensive textbook, this guide is the best one for every reader.
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