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DATA ANALYSIS: A Comprehensive Guide to Data Analysis with Python
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A thorough and enlightening guide for anyone interested in data analysis with Python.
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Product Details
| Publisher | Perpustakaan Nasional Republik Indonesia |
| Publication date | March 25, 2024 |
| Language | English |
| Print length | 154 pages |
| ISBN-10 | 623608842X |
| ISBN-13 | 978-6236088425 |
| Item Weight | 10.2 ounces (289.17 grams) |
| Dimensions | 6 x 0.35 x 9 inches (15.2 x 0.9 x 22.9 cm) |
Who Should Buy?
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Aspiring Data Analysts
Beginner professionals looking to develop foundational data analysis skills using Python programming language.
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Students in Academia
University students studying data science or statistics who require a practical guide to apply their coursework in Python.
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Business Analysts
Professionals seeking to enhance their analytical capabilities and leverage data-driven decision making with Python tools.
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Beginners in Programming
Individuals with no programming background may find the content challenging and lacking the necessary introductory materials.
Product Description
DATA ANALYSIS: A Comprehensive Guide to Data Analysis with Python
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Data Modeling & Design Editorial Review
DATA ANALYSIS: A Comprehensive Guide to Data Analysis with Python is an essential resource for anyone looking to delve into the world of data analysis using Python. This guide, published by Perpustakaan Nasional Republik Indonesia, spans 154 pages and offers a detailed exploration of various analytical techniques. Whether you're new to the field or looking to enhance your existing skills, this book provides practical insights and effective methodologies. The compact size makes it easy to reference, ensuring that you can conveniently carry it along while you work on your projects. Its targeted approach to Python-based data analysis is an asset for data enthusiasts aiming for proficiency.
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Pros
- Comprehensive insights into data analysis techniques
- Practical focus on Python applications
- Compact guide for easy reference
- Suitable for beginners and intermediates
- Well-structured and informative content
Product Price History
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Features & Benefits
- Comprehensive guide suitable for both beginners and seasoned professionals.
- Covers essential tools and technologies for data analysis using Python.
- Includes statistical methods and advanced analytical techniques.
- Teaches data collection, preparation, visualization, and effective communication of insights.
- Explores the intersection of data analysis, big data, and AI.
- Emphasizes ethical considerations and transformative potential of data analysis.
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