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Python for Data Analysis: A Complete Guide for Beginners, Including Python Statistics and Big Data Analysis. (Paperback)
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BIF 103487
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This guidebook is going to dive into what you need to know to complete a deep data analysis.
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- Do you want to understand the Data Analysis power?Do you want to learn Python programming language? Well, this book is for you!This guidebook is going to dive into what you need to know to complete a deep data analysis.This book includes: - What the Python language is- How we can benefit from Data Analysis, no matter what industry we are.- How Python is able to work well with the data analysis - How to install and use the NumPy library, one of the best extensions with Python, to help us get our data analysis done. - How to work with the Pandas and IPython extensions so that we are able to get things done with your analysis. - The practical uses of the data analysis to help you get it done. - A look at the Matplotlib library to help you create some of your own visuals with your data.- How to work with data visuals and how they are so important to your work. - And so much more.Even if you have never studied Python language before, you can learn it quickly.So what are you waiting for? Go to the top of the page and click Buy Now!
| Book format | Paperback |
| Edition | Standard Edition |
| Skill level | Beginner |
| Pages | 132 |
| Language | English |
| Brand | Computer Science Academy |
| Author | Computer Science Academy |
| Genre | Computing & Internet |
| Bisac subject heading | Computers |
| Dimensions | 9.00 x 6.00 x 1.50 in (22.9 x 15.2 x 3.8 cm) |
| Age group | Adult |
| Original languages | English |
Who Should Buy?
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Beginner Programmers
Ideal for those new to programming, providing foundational knowledge in Python tailored for data analysis tasks.
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Data Science Aspirants
Great for individuals starting a career in data science, equipping them with essential tools and methods in Python.
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Students and Educators
Useful resource for students and educators alike, offering structured learning material for academic courses in data analysis.
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Advanced Users
Not suitable for experienced data analysts who may require advanced topics or sophisticated techniques beyond beginner-level.
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BIF 103487
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Features & Benefits
- Comprehensive guide for beginners in Python programming.
- Focuses on the powerful application of data analysis across various industries.
- Teaches essential tools like NumPy, Pandas, and Matplotlib for effective data handling.
- Includes practical examples for a deeper understanding of data analysis.
- User-friendly approach for those with no prior knowledge of Python.
- Encourages immediate purchase to start learning and leveraging data analysis.
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