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Item #:
45560432
Principles of Data Science with Python: Introduction to Scientific Computing, Data Analysis, and Data Visualization
Item #:
45560432
KWD 14
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Unlock the power of data with practical Python programming for scientific computing, data analysis, and visualization.
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What Stands Out
Comprehensive Curriculum
Offers a thorough grounding in scientific computing, data analysis, and visualization, making it ideal for beginners and experienced learners seeking to deepen their Python skillset effectively.
Hands-On Approach
Emphasizes practical applications through exercises and projects, allowing users to immediately apply concepts and gain real-world experience in data science.
Up-to-Date Resources
Incorporates the latest tools and techniques in Python data science, ensuring learners are equipped with relevant skills needed in today’s fast-evolving job market.
Product Details
| Country of Origin | This item will be imported from US |
| What is in the box | Principles of Data Science... For more details, please check description/product details |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners seeking foundational knowledge in data science using Python for practical applications and theoretical insights.
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Students and Educators
Perfect for academic settings, providing structured lessons and exercises in data analysis and visualization techniques.
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Professionals Transitioning Fields
Beneficial for individuals switching to data-centric careers, offering essential skills applicable in various industries.
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Advanced Data Scientists
Not suitable for experts as it may lack advanced techniques and depth required for seasoned professionals.
Product Description
Principles of Data Science with Python: Introduction to Scientific Computing, Data Analysis, and Data Visualization
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Customer Questions & Answers
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Question:
What programming language does the book focus on?
Answer: The book focuses on programming with the Python language. -
Question:
Does this book cover machine learning topics?
Answer: No, the book does not cover machine learning or artificial intelligence topics. -
Question:
What libraries will I learn about in this book?
Answer: You will learn about libraries such as NumPy, Pandas, Matplotlib, and SciPy.
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KWD 14
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Features & Benefits
- Learn Python programming for data science applications.
- Master scientific computing and data visualization techniques.
- Explore the functionalities of libraries like NumPy, Pandas, and Matplotlib.
- Understand statistical functions and time-series analysis.
- Gain hands-on experience with interpolation, curve fitting, and numerical integration.
- Focus on practical data manipulation without machine learning or AI content.
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