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Practical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science.
Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data
MYR 377
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Practical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science.
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What Stands Out
Maklumat produk
- Learn practical data science with Python
- Gain hands-on experience with tools and techniques
- Extract valuable insights from data
- Develop skills for data analysis and visualization
- Apply Python for data manipulation and modeling
- Master the use of data science libraries and packages
| Publisher | Packt Publishing |
| Publication date | September 30, 2021 |
| Language | English |
| Print length | 534 pages |
| ISBN-10 | 1801071977 |
| ISBN-13 | 978-1801071970 |
| Item Weight | 2.53 pounds (1.15 kg) |
| Dimensions | 7.5 x 1.4 x 9.25 inches (19.1 x 3.6 x 23.5 cm) |
Who Should Buy?
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Aspiring Data Scientists
Ideal for beginners aiming to learn practical data analysis techniques using Python in a hands-on manner.
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Industry Professionals
Useful for professionals looking to upskill in data science methods and enhance their analytical capabilities.
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Students in STEM
Beneficial for students studying science, technology, engineering, or mathematics who want to gain practical data skills.
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Experienced Data Scientists
May not offer advanced insights or techniques for those with extensive experience in data science and Python.
PENERANGAN PRODUK
Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data
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Intelligence & Semantics Editorial Review
Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data is an excellent introduction for those new to data science and Python. The author, Nathan George, engages readers by starting with the basics and gradually moving to more complex concepts, making it ideal for beginners. The book covers essential Python libraries such as Pandas and NumPy, and delves into vital data science techniques like machine learning, data wrangling, and ethics surrounding data use. Readers appreciate the practical coding examples while having access to a GitHub repository for further exploration, ensuring comprehensive learning throughout the process.
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Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- Thorough coverage of Python basics and data science tools
- Practical examples enhance understanding of concepts
- Focus on ethical use of data science
- Incorporates a variety of essential Python libraries
- Includes GitHub resources for hands-on practice
Keburukan
- May require basic Python knowledge for best results
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MYR 377
Pesan sekarang dan dapatkannya lebih kurang pada Rabu, Ogos 26
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Ciri & Faedah
- Learn core data science concepts with real-world examples
- Strengthen your grip on basic and advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming
- Build a solid foundation to become proficient in data science
- Learn to perform data analysis using key data science Python packages
- Learn text analytics techniques and create automated data science reports using Python
- Intended for beginners, college graduates, and professionals who want to learn hands-on data science techniques in Python
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