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Item #:
210363671
DATA ANALYSIS: A Comprehensive Guide to Data Analysis with Python
Item #:
210363671
NOK 151
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A thorough and enlightening guide for anyone interested in data analysis with Python.
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What Stands Out
In-Depth Coverage
Offers extensive insights into data analysis techniques, providing readers with a thorough understanding of Python's capabilities in the field, making it suitable for both beginners and seasoned professionals.
Hands-On Tutorials
Includes practical exercises and real-world examples to ensure users can apply learned concepts easily, enhancing their problem-solving skills and confidence in data analysis with Python.
User-Friendly Structure
Organized in a clear, logical manner, this guide allows users to progress smoothly through topics, ensuring comprehension and retention of key concepts necessary for effective data analysis.
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?
-
Aspiring Data Analysts
Beginner professionals looking to develop foundational data analysis skills using Python programming language.
-
Students in Academia
University students studying data science or statistics who require a practical guide to apply their coursework in Python.
-
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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NOK 151
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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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