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Python for Data Science For Dummies (For Dummies (Computer/Tech))
85% of respondents would recommend this to a friend
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The fast and easy way to learn Python programming and statistics
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What Stands Out
Product Details
| Publisher | For Dummies |
| Publication date | February 27, 2019 |
| Edition | 2nd |
| Language | English |
| Print length | 496 pages |
| ISBN-10 | 1119547628 |
| ISBN-13 | 978-1119547624 |
| Item Weight | 1.42 pounds (640 grams) |
| Dimensions | 7.38 x 1.12 x 9.25 inches (18.7 x 2.8 x 23.5 cm) |
Who Should Buy?
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Beginners in Coding
Ideal for individuals with no programming background looking to learn Python for data science applications.
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Data Science Aspirants
Perfect for those looking to enter the field of data science and require foundational knowledge in Python.
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Students and Academics
Great resource for students needing a straightforward guide to Python for coursework in data analysis and science.
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Advanced Programmers
Not suitable for experienced programmers seeking in-depth Python techniques or advanced data science concepts.
Product Description
Python for Data Science For Dummies (For Dummies (Computer/Tech))
About This Item
Introducing the Python for Data Science For Dummies 2nd Edition - your ultimate companion for mastering the world of data science. Whether you're a beginner looking to enter the exciting field of data science or an experienced professional wanting to enhance your skills, this book has got you covered. Python for Data Science For Dummies is not just another data science book; it's a comprehensive guide that takes you on a step-by-step journey through the fundamentals of data science using the powerful programming language, Python. With a focus on practicality and real-world applications, this book equips you with the knowledge and skills needed to excel in the field. Unlock the potential of data science as you delve into essential topics such as data analysis, machine learning, artificial intelligence, big data, data visualization, and statistical analysis.
You will learn how to cleanse and preprocess data, build predictive models, and gain valuable insights from your data to make data-driven decisions. What sets this book apart is its emphasis on Python programming. Python is widely regarded as one of the best programming languages for data science due to its simplicity, readability, and vast collection of libraries specifically designed for data analysis and machine learning. By mastering Python for data science, you'll gain a competitive edge in the job market and open doors to exciting career opportunities. Whether you choose to follow along with the numerous hands-on examples and exercises or refer to the comprehensive reference materials, Python for Data Science For Dummies provides you with all the tools and knowledge you need to kickstart or advance your data science journey. Don't miss out on becoming a data science expert.
Get your copy of Python for Data Science For Dummies 2nd Edition today and unlock the endless possibilities that data science has to offer.
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Python Editorial Review
Python for Data Science For Dummies 2nd Edition is an excellent book for those who are looking to improve their data science skills. The book provides a comprehensive guide to essential tools like pandas, NumPy, and others used in data science. However, the book might not be suitable for beginners learning Python for the first time. The author assumes some knowledge of Python, such as nested loops, arrays, and if-else statements, which might be overwhelming for a beginner. Nevertheless, the book is informative and well-written, making it an excellent addition to any data science student's library.
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Pros
- Comprehensive guide to essential tools used in data science
- Well-written and informative
Cons
- Assumes some prior knowledge of Python, not suitable for beginners
Product Price History
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Features & Benefits
- Python For Data Science For Dummies is a comprehensive guide for beginners
- Written in an easy-to-understand language
- Explains the basics of Python data analysis programming and statistics
- Covers important topics like probability, hypothesis testing, and regression models
- Includes information on Google Colab for cloud-based Python programming
- Get started with data science and Python easily
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