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- Learning Data Science: Data Wrangling, Explor...
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
UZS 892642
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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
Mahsulot tafsilotlari
| Publisher | O'Reilly Media |
| Publication date | October 24, 2023 |
| Edition | 1st |
| Language | English |
| Print length | 594 pages |
| ISBN-10 | 1098113004 |
| ISBN-13 | 978-1098113001 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7 x 1.25 x 9.25 inches (17.8 x 3.2 x 23.5 cm) |
Who Should Buy?
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Aspiring Data Scientists
Perfect for beginners looking to understand core data science principles using Python through hands-on projects and examples.
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Students and Academics
Ideal for students studying data analytics or data science who require structured learning and practical applications.
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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.
MAHSULOT TAVSIFI
Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python
Mijozlarning savol-javoblari
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Savol:
Do I need prior programming experience to benefit from this book?
Javob: A basic knowledge of Python programming is recommended but not mandatory. -
Savol:
What kind of tools will I learn to use in this book?
Javob: You will learn to use industry-standard tools such as pandas for data analysis. -
Savol:
Is this book suitable for someone working in a non-technical role?
Javob: Yes, it is designed for both aspiring data scientists and those in non-technical roles looking to understand data science.
Data Mining Editorial Review
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UZS 892642
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Xususiyatlar va Afzalliklar
- 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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