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Item #:
45560432
Principles of Data Science with Python: Introduction to Scientific Computing, Data Analysis, and Data Visualization
Item #:
45560432
CHF 40
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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?
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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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CHF 40
Order now and get it around Tuesday, August 25
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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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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