Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
genuine image
Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
Get your raw data cleaned up and ready for processing to design better data analytic solutions
Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics
منتج #: 47170266

Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics

85% من المشترين سيوصون بهذا المنتج لصديق

منتج #: 47170266

EGP 4182

تفاصيل السعر

باستثناء رسوم الشحن والجمارك ( سيتم احتساب رسوم الشحن والجمارك عند إتمام الشراء )

*سيتم استيراد جميع العناصر من أمريكا

متوفر فى المخزون
أمريكا مستورد من متجر USA

كمية:

اطلب الآن واحصل عليه حول الجمعة, أكتوبر 09
معاملة آمنةمعاملة آمنة

تعمل يوباي جاهدة لحماية أمنك وخصوصيتك. يضمن نظام أمان الدفع المتقدم لدينا السرية من خلال تشفير معلوماتك أثناء النقل باستخدام بروتوكولات AES (معايير التشفير المتقدمة) وSSL (طبقة المنافذ الآمنة). تفاصيل الدفع الخاصة بك آمنة بنسبة %100 لأننا لا نشارك تفاصيل الدفع الخاصة بك مع بائعين تابعين لجهات خارجية

أفضل شركائنا اللوجستيين
  • fedex
  • dhl
Get your raw data cleaned up and ready for processing to design better data analytic solutions
كفالة يو كير:
لا شيء
اختر الباقة
fast shipping

شحن
سريع

free return

استرجاع
مجاني*

تغليف آمن

تغليف آمن

منتجات أصلية %100

منتجات أصلية %100

pci-dss

الامتثال لمعيار PCI DSS

iso certified

حاصل على شهادة ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of أمريكا store (110-120). Recommended power converters اشتري الآن.

أبرز ما يلفت الانتباه

Practical Learning
Engage in hands-on exercises that emphasize real-world data preprocessing techniques, enabling learners to tackle data challenges effectively and confidently in their analytics projects.
Expert Guidance
Benefit from insights and strategies shared by industry professionals, ensuring learners understand best practices and common pitfalls in data preparation for analytics success.
Comprehensive Coverage
Cover a wide range of preprocessing techniques, from cleaning to transforming, equipping learners with essential skills to enhance data quality and improve analytical outcomes.

تفاصيل المنتج

Master the art of effectively preparing data for successful data analytics with our hands-on Python tutorials. Dive deep into data preprocessing techniques today! Shop at Ubuy مصر
Publisher Packt Publishing
Publication date January 21, 2022
Language English
Print length 602 pages
ISBN-10 1801072132
ISBN-13 978-1801072137
Item Weight 2.25 pounds (1.02 kg)
Dimensions 7.5 x 1.36 x 9.25 inches (19.1 x 3.5 x 23.5 cm)

من يجب أن يشتري؟

Suitable For
  • Aspiring Data Scientists

    This product is ideal for beginners aiming to understand data preprocessing fundamentals and enhance their analytical skills.

  • Data Analysts

    Experienced analysts looking to refine their data cleaning and preparation techniques will find valuable insights in this resource.

  • Students in Data Courses

    University students enrolled in data science or analytics courses can benefit from practical examples and hands-on exercises offered.

Not Suitable For
  • Advanced Data Professionals

    Seasoned data scientists may not find new advanced techniques, as the content primarily targets beginners and intermediate users.

وصف المنتج

Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics

هل لديك أي استفسار؟ تحدث معنا

أسئلة العملاء & الإجابات

  • سؤال: What is 'Hands-On Data Preprocessing In Python' about?

    إجابه: 'Hands-On Data Preprocessing In Python' is a comprehensive guide that teaches you how to effectively prepare and preprocess data for analytics tasks. It provides practical insights into cleaning, transforming, and organizing data using Python, ensuring that you can handle real-world datasets. This book or course is essential for anyone aiming to enhance their data analytics skills by mastering the crucial preprocessing stage, which often determines the success of data-driven projects. You'll learn practical techniques that can be applied directly in your work scenarios.
  • سؤال: Who can benefit from this resource?

    إجابه: This resource is designed for data scientists, analysts, and anyone interested in data analytics, from beginners to advanced users. It equips beginners with foundational skills and helps experienced practitioners refine their preprocessing techniques. By mastering the content, users can improve the accuracy and effectiveness of their data analysis projects across various industries, including finance, healthcare, and marketing, leading to more informed decision-making.
  • سؤال: What programming knowledge is required to understand this material?

    إجابه: A basic understanding of Python programming is beneficial but not strictly necessary. The resource often starts with fundamental concepts before moving into more complex preprocessing techniques. Familiarity with common Python libraries like Pandas, NumPy, and Matplotlib can enhance your learning experience. Users with little to no coding background can follow along, as the resource aims to impart knowledge in an accessible manner, making it suitable for aspiring data professionals.
  • سؤال: What topics are covered in the data preprocessing resource?

    إجابه: 'Hands-On Data Preprocessing In Python' covers a variety of essential topics, including data cleaning, handling missing values, normalizing data, feature scaling, and data transformation techniques. Each topic is presented with practical examples and code walkthroughs, making it easy to follow. This ensures comprehensive coverage of all necessary preprocessing steps, giving you the confidence to tackle any data preprocessing challenge in your analytics journey.
  • سؤال: Is there practical coding involved, and what tools are used?

    إجابه: Yes, the resource includes a significant amount of practical coding using Python. You will work with popular libraries such as Pandas for data manipulation, NumPy for numerical operations, and Matplotlib for data visualization. Each coding exercise is designed to solidify your understanding of preprocessing techniques, allowing you to apply these tools effectively in real-world scenarios, thereby improving your problem-solving skills in data analytics.
  • سؤال: Can this resource help in preparing for data analytics job interviews?

    إجابه: Absolutely! Mastering data preprocessing is often a key topic in data analytics job interviews. This resource not only provides you with the practical skills but also helps you build the confidence to discuss preprocessing techniques knowledgeably. By adding this expertise to your skill set, you improve your chances of impressing potential employers during interviews and demonstrate your capability to work effectively with data.
  • سؤال: Are there any prerequisites for completing this course?

    إجابه: While specific prerequisites are not mandatory, having foundational knowledge of Python programming and familiarity with data concepts will be advantageous. If you're new to Python, consider reviewing basic syntax and operations before diving into preprocessing. Understanding concepts like data types, dataframes, and arrays will enhance your learning experience, enabling you to keep pace with the resource content while you advance your skills in data analytics.
  • سؤال: How long does it take to complete the resource?

    إجابه: The time required to complete 'Hands-On Data Preprocessing In Python' can vary depending on your prior experience and learning pace. Generally, individuals may spend a few weeks engaging deeply with the content, practicing the coding exercises, and applying the techniques covered. Setting aside dedicated study hours and engaging with the material consistently will allow you to grasp the concepts thoroughly and gain practical expertise in data preprocessing.
  • سؤال: Where can I buy 'Hands-On Data Preprocessing In Python'?

    إجابه: You can conveniently purchase 'Hands-On Data Preprocessing In Python' from Ubuy in Egypt. Ubuy offers a range of options for acquiring this resource, ensuring a seamless shopping experience. This platform specializes in delivering educational content like books and courses, making it an excellent choice for anyone looking to enhance their data analytics skills.
  • سؤال: What are the practical applications of data preprocessing?

    إجابه: Data preprocessing is critical in various fields such as finance, healthcare, and marketing for cleaning and structuring data before analysis. For example, in finance, you might clean transaction data to remove outliers, ensuring accurate forecasting. In healthcare, preprocessing patient records can improve the performance of machine learning models used for diagnosis. This stage is foundational for data analysts and scientists, as proper preprocessing enhances your ability to derive valuable insights from diverse datasets.

Data Warehousing Editorial Review

Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics is an essential resource for both beginners and seasoned analysts looking to refine their data processing skills. The book strategically divides the content into four comprehensive parts, including Technical Requirement, Analytics Goals, Data Preprocessing, and Case Studies. Each chapter contains practical exercises that reinforce learning, making the concepts easily digestible and applicable. Rich with hands-on examples, it emphasizes the importance of data cleaning and preparation in analytics, preparing readers to tackle data-driven decision-making confidently. Moreover, the conversational tone of the author fosters an engaging learning environment, akin to having a personal tutor.

مراجعات العملاء وتقييماتهم

1 تقييمات العملاء
  • 5 نجمة
    100%
  • 4 نجمة
    0%
  • 3 نجمة
    0%
  • 2 نجمة
    0%
  • 1 نجمة
    0%

أضف تقييم لهذا المنتج

شارك أفكارك مع عملاء آخرين

إيجابيات

  • Practical exercises enhance learning and retention
  • Covers a range of libraries for data analysis
  • Clear explanations with real-world examples
  • Engaging writing style simplifies complex topics
  • Case studies provide hands-on project experience

سلبيات

  • Some beginners may find initial technical concepts challenging

منصة موثوقة وثقة كاملة للمشتري

trustpilot logo
4.2/5 9477 التقييمات
اطّلع على التقييمات
JK
Jasmin
مشتري موثّق

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · عبر Trustpilot
AG
Anke
مشتري موثّق

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · عبر Trustpilot
H
Hazel
مشتري موثّق

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · عبر Trustpilot
O
Opaleye
مشتري موثّق

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · عبر Trustpilot
AC
Adele
مشتري موثّق

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · عبر Trustpilot
الخروج الآمن شحن عالمي إسترجاع سهل منتجات أصلية

تاريخ سعر المنتج

معلومات مهمة

  • القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
  • ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.

EGP 4182

اطلب الآن واحصل عليه حول الجمعة, أكتوبر 09

كمية:

معاملة آمنةمعاملة آمنة

نوفر لك مدفوعات مشفّرة، وحماية متكاملة للمشتري، مع الالتزام بمعايير PCI DSS وشهادة ISO 27001:2022 لضمان أعلى مستويات الأمان في كل عملية شراء.

أفضل شركائنا اللوجستيين
  • fedex
  • dhl
أسرع توصيل عبر الحدود

المميزات والفوائد

  • Learn how to effectively prepare data for successful data analytics
  • Develop the skills to perform data cleaning, data integration, data reduction, and data transformation
  • Make the most of your raw data with powerful data transformation and massaging techniques
  • Perform thorough data cleaning, including dealing with missing values and outliers
  • Use Python to read, manipulate, and analyze data
  • Handle outliers or missing values to effectively prepare data for analytic tools

ضمان Ubuy

تسوّق بثقة مع منتجات أصلية %100، ومدفوعات آمنة متوافقة مع معيار PCI DSS، وحماية بيانات معتمدة وفق ISO 27001، وشحن دولي سريع، وإرجاع مجاني*، وتغليف آمن لكل طلب.