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Item #:
159959311
Python for Data Science:: The Ultimate Beginner-to-Expert Guide
87% of respondents would recommend this to a friend
Item #:
159959311
CAD 45
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What Stands Out
Comprehensive Curriculum
Covers all essential Python concepts for data science, ensuring a thorough understanding from basic to advanced levels, suitable for both beginners and skilled users looking to deepen their expertise.
Hands-On Projects
Includes practical projects that allow learners to apply concepts in real-world scenarios, reinforcing skills and boosting confidence as they tackle data science challenges effectively.
Expert Insights
Features tips and best practices from industry experts, providing learners with insider knowledge that enhances their ability to succeed in the competitive field of data science.
Product Details
| Publisher | Independently published |
| Publication date | May 30, 2025 |
| Language | English |
| Print length | 136 pages |
| ISBN-13 | 979-8300704353 |
| Item Weight | 8.2 ounces (232.47 grams) |
| Dimensions | 5.5 x 0.31 x 8.5 inches (14 x 0.8 x 21.6 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for individuals seeking a comprehensive introduction to Python and its application in data science.
-
Tech Industry Professionals
Beneficial for existing professionals in tech looking to transition into roles focused on data analysis and data science.
-
Students and Learners
Perfect for students in need of a structured learning path to grasp Python and data science concepts effectively.
-
Advanced Python Users
Experienced programmers may find the material too basic and not challenging enough to enhance their skills.
Product Description
Python for Data Science:: The Ultimate Beginner-to-Expert Guide
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Python Editorial Review
Python for Data Science: The Ultimate Beginner-to-Expert Guide by Alex Harper is a comprehensive resource crafted for newcomers to data science, skillfully guiding readers from foundational Python skills to more complex topics. The book is well-structured, tackling vital libraries such as Pandas, NumPy, and Matplotlib with clarity and accessible language. Users have praised it for its organization and practical examples that make concepts easier to grasp, though some felt the pacing could be intense for novices. It serves as a reliable reference for building confidence in data analysis, ensuring that each part builds on previous knowledge, making it suitable for learners of all levels.
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Pros
- Clear and concise explanations
- Well-structured for progressive learning
- Practical examples enrich understanding
- Covers essential data science libraries
- Great resource for all skill levels
Cons
- Some may find the pacing challenging for beginners
Product Price History
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Features & Benefits
- Comprehensive guide tailored for beginners and experienced programmers.
- Step-by-step instructions for setting up Python and key libraries.
- Practical exercises and projects to enhance learning and build a portfolio.
- Focus on data cleaning, preprocessing, and visualization techniques.
- Avoid common pitfalls and learn coding standards for professional success.
- Access exclusive online resources to supplement and extend your learning.
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