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Item #:
101849341
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
Item #:
101849341
SBD 574
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Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass the entire data science lifecycle.
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What Stands Out
Comprehensive Coverage
This book provides an all-in-one approach to data science, encompassing essential skills from data wrangling to modeling, making it ideal for beginners and intermediate learners seeking a thorough understanding.
Practical Python Focus
With a strong emphasis on Python, the book equips readers with practical coding examples and exercises, empowering them to apply data science concepts effectively in real-world scenarios.
Visualization Techniques
It expertly covers visualization methods, enabling readers to present data insights clearly and effectively, which is crucial for decision-making in any data-driven field.
Product Details
| Item Weight | 2 lbs (910 grams) |
Who Should Buy?
-
Aspiring Data Scientists
Perfect for beginners looking to understand core data science principles using Python through hands-on projects and examples.
-
Students and Academics
Ideal for students studying data analytics or data science who require structured learning and practical applications.
-
Professionals Transitioning Careers
Beneficial for professionals seeking to shift into data-focused roles needing foundational knowledge in data manipulation and analysis.
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Complete Beginners
Not suitable for those with no prior programming experience as it assumes basic knowledge of Python.
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Advanced Data Practitioners
Less beneficial for experienced data scientists looking for in-depth techniques or niche specializations beyond foundational concepts.
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Non-technical Users
Not recommended for individuals without technical skills or interest in programming, as content is code-centric and analytical.
Product Description
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
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Customer Questions & Answers
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Question:
Do I need prior programming experience to benefit from this book?
Answer: A basic knowledge of Python programming is recommended but not mandatory. -
Question:
What kind of tools will I learn to use in this book?
Answer: You will learn to use industry-standard tools such as pandas for data analysis. -
Question:
Is this book suitable for someone working in a non-technical role?
Answer: Yes, it is designed for both aspiring data scientists and those in non-technical roles looking to understand data science.
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Features & Benefits
- Master data science skills to transform raw data into actionable insights.
- Learn programming and statistics foundational skills essential for data scientists.
- Ideal for aspiring data scientists and data analysts seeking to bridge technical gaps.
- Gain proficiency in industry-standard tools like pandas for data manipulation.
- Explore data collection techniques including text processing and web scraping.
- Visualize and model data to draw generalized conclusions and insights.
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