0 ratings
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
Item #: 47170266

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

85% of respondents would recommend this to a friend

Item #: 47170266

XCD 209

Price Details

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from US

0 ratings Write a review
In stock
us Imported from USA store

QTY:

Order now and get it around Friday, October 09
Secured transactionsecured transaction

Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.

Our Top Logistics Partners
  • fedex
  • dhl
Get your raw data cleaned up and ready for processing to design better data analytic solutions
U-Care Warranty:
None
Select a Plan
fast shipping

Fast
Shipping

free return

Free
Return*

secure packaging

Secure Packaging

100% original products

100% Original Products

pci-dss

PCI DSS Compliance

iso certified

ISO 27001 Certified

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

What Stands Out

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.

Product Details

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 Saint Vincent
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)

Who Should Buy?

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.

Product Description

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

Have any Query? Chat with us

Customer Questions & Answers

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

    Answer: '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.
  • Question: Who can benefit from this resource?

    Answer: 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.
  • Question: What programming knowledge is required to understand this material?

    Answer: 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.
  • Question: What topics are covered in the data preprocessing resource?

    Answer: '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.
  • Question: Is there practical coding involved, and what tools are used?

    Answer: 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.
  • Question: Can this resource help in preparing for data analytics job interviews?

    Answer: 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.
  • Question: Are there any prerequisites for completing this course?

    Answer: 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.
  • Question: How long does it take to complete the resource?

    Answer: 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.
  • Question: Where can I buy 'Hands-On Data Preprocessing In Python'?

    Answer: You can conveniently purchase 'Hands-On Data Preprocessing In Python' from Ubuy in Saint Vincent. 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.
  • Question: What are the practical applications of data preprocessing?

    Answer: 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.

Customer Reviews & Ratings

1 customers ratings
  • 5 Star
    100%
  • 4 Star
    0%
  • 3 Star
    0%
  • 2 Star
    0%
  • 1 Star
    0%

Review this product

Share your thoughts with other customers

Pros

  • 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

Cons

  • Some beginners may find initial technical concepts challenging

Platform Trust & Buyer Confidence

trustpilot logo
4.2/5 9477 reviews
Read reviews
JK
Jasmin
Verified buyer

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

9 September 2026 · via Trustpilot
AG
Anke
Verified buyer

“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 · via Trustpilot
H
Hazel
Verified buyer

“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 · via Trustpilot
O
Opaleye
Verified buyer

“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 · via Trustpilot
AC
Adele
Verified buyer

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

8 September 2026 · via Trustpilot
Secure Checkout Global Delivery Easy Returns Genuine Products

Product Price History

Important information

  • Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
  • Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.

XCD 209

Order now and get it around Friday, October 09

QTY:

Secured transactionsecured transaction

PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

Our Top Logistics Partners
  • fedex
  • dhl
Fastest cross-border delivery

Features & Benefits

  • 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

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.