Item #:
87790333
Advanced Data Science and Analytics with Python by Jess Roge... - 9780429446610
95% of respondents would recommend this to a friend
Item #:
87790333
€ 170
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Advanced Data Science and Analytics with Python enables data scientists to continue developing their skills and apply them in business as well as academic settings.
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What Stands Out
Comprehensive Content
This book covers advanced data science and analytics concepts thoroughly, making it suitable for both beginners and experienced practitioners seeking to deepen their Python skills in real-world applications.
Practical Examples
Offers numerous practical examples and case studies, ensuring readers can easily apply theoretical concepts to solve actual data challenges and enhance their decision-making abilities.
Expert Insights
Written by industry experts, this book provides valuable insights and best practices, equipping readers with modern techniques and tools critical for success in the evolving field of data science.
Product Details
| Book Title | Advanced Data Science and Analytics with Python |
| ISBN | 9780429446610 |
| Country of Origin | United States |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Data Scientists
Ideal for professionals seeking to enhance their Python skills in advanced data analytics and machine learning applications.
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Graduate Students
Perfect for graduate students specializing in data science or analytics courses who need in-depth knowledge and practical skills.
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Analytics Professionals
Suitable for analytics professionals looking to leverage Python for comprehensive data analysis and predictive modeling.
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Beginners
Not suitable for complete beginners, as it assumes prior knowledge of programming and data science concepts.
Product Description
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Editorial Review
Advanced Data Science And Analytics With Python By Jess Roge... - 9780429446610 is a comprehensive guide that delves into the intricacies of data science using Python. This book, weighing 1.5 lbs and published in the United States, serves as an invaluable resource for those looking to enhance their analytical skills. Readers can expect practical insights, effective methodologies, and real-world applications that bridge the gap between theory and practice. Whether you are a beginner or an advanced user, this book is designed to cater to various expertise levels, making it an essential addition to any data enthusiast's library.
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Pros
- Covers practical applications of data science.
- Suitable for both beginners and advanced users.
- Well-structured content and methodologies.
- Focuses on the use of Python in analytics.
- Rich in real-world examples and insights.
Cons
- Might be heavy for casual readers.
Product Price History
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€ 170
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Features & Benefits
- Designed for readers with a programming background.
- Focuses on practical applications of Python tools in data analytics.
- Features independent chapters for flexible learning.
- Covers advanced topics like time series analysis and neural networks.
- Provides actionable examples and reproducible steps.
- Facilitates the development of data products for real-world use.
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