- หน้าแรก /
- หนังสือ /
- คอมพิวเตอร์และเทคโนโลยี /
- Programming Languages /
- Python /
- Python for Data Science:: The Ultimate Beginn...
Python for Data Science:: The Ultimate Beginner-to-Expert Guide
THB 1067
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from สหรัฐอเมริกา
Ubuy ทำงานอย่างหนักเพื่อปกป้องความปลอดภัยและความเป็นส่วนตัวของคุณ ระบบรักษาความปลอดภัยการชำระเงินขั้นสูงของเราช่วยให้ข้อมูลของคุณเป็นความลับ โดยการเข้ารหัสข้อมูลระหว่างการส่งโดยใช้โปรโตคอล AES (Advanced Encryption Standards) และ SSL (Secure Socket Layer) รายละเอียดการชำระเงินของคุณปลอดภัย 100% เนื่องจากเราไม่แบ่งปันข้อมูลการชำระเงินของคุณกับผู้ขายบุคคลที่สาม
Master Python for Data Science in less time than you think, even if you’ve never written a line of code.
Fast
Shipping
คืนสินค้าฟรี*
แพ็คสินค้าอย่างปลอดภัย
สินค้าแท้ 100%
PCI DSS Compliance
ISO 27001 Certified
จุดเด่น
รายละเอียดสินค้า
| 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) |
เหมาะสำหรับใคร?
-
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.
-
Non-Technical Individuals
Those without a foundational understanding of programming may struggle with the complexities of data science.
-
Short-term Learners
Not suitable for those seeking quick tips or shortcuts instead of comprehensive learning in data science.
ข้อมูลผลิตภัณฑ์
Python for Data Science:: The Ultimate Beginner-to-Expert Guide
คําถามและคําตอบของลูกค้า
-
คำถาม:
What is the focus of 'Python for Data Science: The Ultimate Beginner-to-Expert Guide'?
คำตอบ: This guide focuses on equipping readers with the necessary skills to use Python effectively in data science. It covers essential concepts such as data manipulation, visualization, statistical analysis, and machine learning. By progressing from beginner to expert levels, it ensures a gradual and comprehensive learning experience, perfect for anyone looking to break into data analytics or enhance their skills in this in-demand field. -
คำถาม:
Who is the target audience for this guide?
คำตอบ: The target audience includes beginners with little to no programming background, as well as experienced professionals looking to refresh or expand their skill set in Python and data science. The structured approach caters to diverse learning curves, making it suitable for students, analysts, and tech enthusiasts aiming to specialize in data-driven fields. -
คำถาม:
What programming concepts does the guide introduce?
คำตอบ: The guide introduces core programming concepts fundamental to Python, including data types, control structures, functions, and libraries specific to data science like Pandas and NumPy. Additionally, it delves into object-oriented programming, which is essential for creating complex data models, thereby providing a solid foundation that supports advanced topics in the realm of data analysis. -
คำถาม:
Are there practical examples included in the guide?
คำตอบ: Yes, the guide includes a variety of practical examples and real-world projects that demonstrate how to apply Python for data manipulation, analysis, and visualization. These scenarios help readers understand the application of theoretical knowledge, ranging from cleaning data sets to building machine learning models, which reinforces learning through hands-on experience. -
คำถาม:
How does this guide enhance learning for beginners?
คำตอบ: This guide enhances learning for beginners by using clear language, intuitive explanations, and step-by-step instructions that demystify complex topics. Additionally, it provides quizzes and practice exercises designed to reinforce concepts, promoting active engagement and retention of information. This supportive approach empowers beginners to build confidence in their programming abilities. -
คำถาม:
What data science libraries are covered in this guide?
คำตอบ: The guide covers several essential Python libraries for data science, including Pandas for data manipulation, NumPy for numerical operations, Matplotlib and Seaborn for data visualization, and Scikit-learn for machine learning algorithms. Familiarity with these libraries equips readers with the necessary tools to tackle various data science projects efficiently. -
คำถาม:
Is this guide suitable for self-study?
คำตอบ: Absolutely! This guide is well-structured for self-study, with chapters that build upon each other, enabling readers to progress through the material at their own pace. In addition, it provides examples, exercises, and summaries at the end of each chapter, making it easier for self-learners to grasp and apply Python concepts independently. -
คำถาม:
What are the prerequisites for using this guide?
คำตอบ: The only prerequisite for using this guide is a basic understanding of mathematics and statistics. No prior programming experience is necessary, as the guide starts from the fundamentals of Python and gradually introduces complex data science concepts. This inclusive approach allows individuals from various backgrounds to enter the field of data science comfortably. -
คำถาม:
What projects can I expect to build by the end of the guide?
คำตอบ: By the end of the guide, readers can expect to have built several projects, including data visualizations, predictive models using machine learning, and data dashboards. These projects help consolidate knowledge and provide tangible outcomes that showcase readers’ abilities, making them portfolio-ready for job applications in data science. -
คำถาม:
Can this guide help with preparing for data science interviews?
คำตอบ: Yes, this guide can be a valuable resource for preparing for data science interviews. It provides insights into common data science concepts, coding challenges, and project-based questions frequently asked in interviews. By familiarizing yourself with these topics, you can enhance your confidence and readiness for technical interviews in the field. -
คำถาม:
Where can I buy 'Python for Data Science: The Ultimate Beginner-to-Expert Guide'?
คำตอบ: You can purchase 'Python for Data Science: The Ultimate Beginner-to-Expert Guide' from Ubuy in Thailand. Ubuy is a reliable online platform that offers a variety of books and resources for learners. With Ubuy, you can quickly find this guide along with various additional titles that support your journey in data science.
Python Editorial Review
**** "Python for Data Science: The Ultimate Beginner-to-Expert Guide" by Alex Harper has garnered positive attention for its comprehensive approach to teaching both beginners and aspiring professionals the fundamentals and advanced techniques of Python within the context of data science. The book is well-structured, facilitating a seamless progression from the basics to more complex topics such as machine learning and deep learning. Readers appreciate how the author presents material in a balanced manner, making advanced concepts accessible without overwhelming newcomers. The practical examples and interactive exercises help readers solidify their understanding while building confidence in applying what they've learned to real-world scenarios. Many reviews highlight the focus on tangible skills - from handling data with libraries like NumPy and pandas to creating visualizations with Matplotlib. While the book's breadth and ambition are commendable, some users note that the rapid pace through more complex subjects could be challenging for those with little prior experience. Additionally, there is a mention of lengthy legal disclaimers in the introductory chapter that may disrupt the instructional flow. Despite these minor drawbacks, the overarching sentiment is that this guide is an invaluable resource for motivated learners dedicated to mastering Python for data science. Overall, "Python for Data Science" is recommended for its strong foundation, excellent range of content, and practical focus, making it particularly suitable for those looking to enhance their career Prospects in data analysis. **
ความคิดเห็นและคะแนนจากลูกค้า
-
5 ดาว
100%
-
4 ดาว
0%
-
3 ดาว
0%
-
2 ดาว
0%
-
1 ดาว
0%
แบ่งปันความคิดของคุณกับลูกค้าท่านอื่น
แชร์ความคิดของคุณกับลูกค้ารายอื่น
ข้อดี
- Comprehensive coverage of foundational and advanced concepts in Python for data science.
- Clear, practical examples make complex topics accessible and understandable.
- Well-structured, facilitating gradual learning that builds on previous knowledge.
- Focus on real-world applications and projects enhances learning and skill development.
- Suitable for both beginners and individuals looking to upskill in data analysis.
ข้อเสีย
- Rapid progression through complex topics may challenge novice readers.
Platform Trust & Buyer Confidence
“The product received very good packaging & safe…Thank You”
“Accurate delivery timing given”
“Not madly expensive like I thought, and much quicker than promised.”
“Never dealt with Ubuy before, but everything worked out great. Seamless cross border purchasing and shipping. Thanks!”
“The process was smooth, with clear communication and timelines. This was my 1st purchase and I am really impressed. I will definitely be coming back.”
ประวัติราคาสินค้า
ข้อมูลสำคัญ
- ข้อจำกัด : สำหรับผลิตภัณฑ์ที่จัดส่งระหว่างประเทศ โปรดทราบว่าการรับประกันของผู้ผลิตอาจไม่ถูกต้อง ตัวเลือกบริการของผู้ผลิตอาจไม่สามารถใช้ได้ คู่มือผลิตภัณฑ์ คำแนะนำ และคำเตือนด้านความปลอดภัยอาจไม่เป็นภาษาของประเทศปลายทาง ผลิตภัณฑ์ (และวัสดุประกอบ) อาจไม่ได้รับการออกแบบตามมาตรฐาน คุณลักษณะเฉพาะ และข้อกำหนดเกี่ยวกับการติดฉลากของประเทศปลายทาง และผลิตภัณฑ์อาจใช้แรงดันไฟฟ้าไม่สอดคล้องกับของประเทศปลายทางและมาตรฐานทางไฟฟ้าอื่น ๆ (ต้องใช้อะแดปเตอร์หรือตัวแปลงไฟตามความเหมาะสม) ผู้รับมีหน้าที่ตรวจสอบให้แน่ใจว่าสินค้าสามารถนำเข้าประเทศปลายทางได้อย่างถูกกฎหมาย เมื่อสั่งซื้อจาก Ubuy หรือตัวแทนจำหน่าย ผู้รับคือผู้นำตามกฎหมาย และต้องปฏิบัติตามกฎหมายและระเบียบข้อบังคับทั้งหมดของประเทศปลายทาง
- ผลิตภัณฑ์บางรายการใน Ubuy ไม่ได้มีไว้เพื่อขาย เนื่องจาก Ubuy เป็นเครื่องมือค้นหาระดับโลก ผลิตภัณฑ์อยู่ภายใต้กฎระเบียบด้าน การส่งออก/การค้า
THB 1067
สั่งซื้อตอนนี้และรับสินค้าประมาณ วันพฤหัสบดี, กรกฎาคม 23
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
คุณสมบัติและประโยชน์
- 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.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.