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Nº de artículo:
109715143
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ...
Nº de artículo:
109715143
NIO 1982
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What Stands Out
Comprehensive Coverage
In-depth exploration of essential Python libraries like Pandas, NumPy, and Matplotlib for data analysis, offering readers a complete toolkit for effective data manipulation and visualization.
User-Friendly Approach
Integrates no-code tools alongside coding libraries, making data analysis accessible to all skill levels, ensuring that both beginners and experts can find value and utility in the content.
Practical Applications
Emphasizes real-world applications and examples of data visualization, providing readers with hands-on experience that enhances learning and applies theoretical concepts effectively.
Detalles de producto
| Publisher | Orange Education Pvt Ltd |
| Publication date | 4 April 2024 |
| Language | English |
| Print length | 267 pages |
| ISBN-10 | 8197081913 |
| ISBN-13 | 978-8197081910 |
| Item weight | 463 g |
| Dimensions | 19.05 x 1.55 x 23.5 cm |
| Book 2 of 2 | Data Analyst (Python) u2014 Expert Micro Path |
Who Should Buy?
-
Data Analysts
Ideal for data analysts needing comprehensive tools for manipulating datasets and generating insightful visualizations.
-
Data Science Students
Perfect for students learning data science who want practical guidance on applying popular Python libraries.
-
No-Code Enthusiasts
Great for users interested in data analysis without coding experience, offering no-code tools and clear instructions.
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Absolute Beginners
Not suitable for complete beginners to programming who lack foundational knowledge of Python and libraries.
DESCRIPCIÓN DEL PRODUCTO
Ultimate Python Libraries for Data Analysis and Visualization: Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data ... Data Analyst Python — Expert Micro Path Paperback – 4 April 2024
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Preguntas y respuestas de los clientes
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Pregunta:
What programming language does this book focus on?
Respuesta: The book primarily focuses on Python for data analysis and visualization. -
Pregunta:
Does this book include practical examples?
Respuesta: Yes, it includes hands-on projects and real-world datasets for practical application. -
Pregunta:
Is there a reference guide included?
Respuesta: Yes, a Python cheat sheet is included in the appendix for quick reference.
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NIO 1982
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características y beneficios
- Master data analysis and visualization with Python.
- Comprehensive guide covering popular libraries like Pandas and NumPy.
- Step-by-step tutorials for statistical analysis and time series forecasting.
- Hands-on projects for analyzing real-world datasets across various industries.
- Includes a Python cheat sheet for quick reference.
- Gain confidence to tackle any data analysis challenge.
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