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Item #:
113229336
Data Science with Python: A Complete Guide with Practical Examples and MCQs
85% of respondents would recommend this to a friend
Item #:
113229336
XPF 7231
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This book is the ultimate resource to help you achieve mastery in data science using Python.
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What Stands Out
Comprehensive Coverage
Offers an extensive exploration of data science concepts tailored for Python users, ensuring learners gain a solid understanding to tackle real-world data challenges effectively.
Practical Examples
Includes hands-on examples that bridge theory and practice, enabling readers to apply concepts directly in Python, reinforcing learning through actionable insights and exercises.
MCQs for Mastery
Features multiple-choice questions at the end of each chapter, allowing readers to test their knowledge, solidifying comprehension, and preparing them for practical application in data science scenarios.
Product Details
| Publisher | Independently published |
| Publication date | 28 Dec. 2024 |
| Language | English |
| Print length | 351 pages |
| ISBN-13 | 979-8305134629 |
| Item weight | 975 g |
| Dimensions | 21.55 x 2.49 x 28.54 cm |
Who Should Buy?
-
Beginners in Python
Ideal for individuals new to Python programming, providing foundational knowledge and practical examples.
-
Data Science Learners
Perfect for those interested in data science, offering comprehensive coverage of concepts with practical applications.
-
Exam Preparation
Useful for students preparing for exams, featuring multiple-choice questions to test knowledge and understanding.
-
Advanced Programmers
Not suitable for experienced data scientists or programmers seeking advanced or specialized topics beyond basics.
Product Description
Data Science with Python: A Complete Guide with Practical Examples and MCQs
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Customer Questions & Answers
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Question:
Who is this book intended for?
Answer: It's designed for beginners and intermediate learners looking to enhance their data science skills. -
Question:
What practical skills will I gain from this book?
Answer: You'll learn data manipulation, visualization, and machine learning techniques using popular Python libraries. -
Question:
Does the book include tests to assess my knowledge?
Answer: Yes, it includes multiple-choice questions at the end of each chapter to reinforce your understanding.
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Features & Benefits
- Comprehensive guide for beginners and intermediate learners.
- Step-by-step learning with clear, easy-to-follow chapters.
- Practical examples provided for real-life application.
- Includes MCQs to test and reinforce your understanding.
- Covers essential data science topics and popular Python libraries.
- Perfect for career advancement in data analytics and data science.
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