Using Python to Access Web Data

(3 customer reviews)

63,258.95

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Description

Embark on a journey to unlock the vast web resources using Python. The “Using Python to Access Web Data” course is designed to equip you with the skills to retrieve, process, and analyze data from various web sources. Whether you want to enhance your data science toolkit or automate data collection tasks, this course provides a comprehensive foundation. Dive into web scraping, data parsing, and API utilization, guided by hands-on examples and practical applications.

What you'll gain

  • Web Scraping Techniques: Learn how to extract data from web pages using Python libraries such as BeautifulSoup and Scrapy.
  • Data Parsing and Cleaning: Master the art of parsing HTML and XML data and cleaning it for analysis.
  • API Interaction: Understand how to interact with web APIs to retrieve structured data in JSON and XML formats.
  • Automated Data Collection: Gain the skills to automate the data collection from multiple web sources.
  • Practical Problem-Solving: Apply your skills to real-world problems and projects, enhancing your ability to use web data in various contexts.
  • Technical Proficiency: Develop a solid understanding of HTTP requests, regular expressions, and data serialization techniques.

Syllabus

Week 1: Introduction to Web Data and Python

  • Overview of web data sources and types
  • Introduction to Python for Web Data Access
  • Setting up your development environment

Week 2: HTML and the Structure of Web Pages

  • Understanding HTML tags and attributes
  • Navigating and inspecting web page elements
  • Introduction to BeautifulSoup for HTML parsing

Week 3: Web Scraping with Python

  • Basics of web scraping and ethical considerations
  • Using BeautifulSoup to extract data from web pages
  • Handling navigation and pagination in scraping tasks

Week 4: Working with APIs

  • Introduction to APIs and their importance
  • Making HTTP requests using the requests library
  • Parsing JSON and XML data from APIs

Week 5: Advanced Web Scraping Techniques

  • Utilizing Scrapy for more complex scraping projects
  • Handling AJAX and JavaScript-rendered content
  • Managing cookies and sessions

Week 6: Data Cleaning and Storage

  • Techniques for cleaning and normalizing web data
  • Storing data in various formats: CSV, JSON, databases
  • Introduction to data serialization with Python

Week 7: Automating Web Data Collection

  • Scheduling and automating web scraping tasks
  • Error handling and retries for robust data collection
  • Using Selenium for automated browsing and scraping

Week 8: Real-World Applications and Project

  • Case studies of web data access in different industries
  • Final project: end-to-end data collection and analysis
  • Review and next steps for further learning

3 reviews for Using Python to Access Web Data

  1. Rabiu

    As someone with little programming experience, I found this course incredibly helpful. The step-by-step tutorials made it easy to follow along, and I appreciated the real-world examples that were provided. I’m now able to automate tasks and gather data for my projects effortlessly.

  2. Victor

    I’ve taken several online courses on Python, but none have been as comprehensive as this one. The instructor covers everything from basic web scraping techniques to more advanced topics like handling authentication and using APIs. The exercises were challenging yet rewarding, and I feel like I’ve gained a valuable skill set.

  3. Mustapha

    The instructor’s passion for the subject shines through in every lecture, making the learning experience engaging and enjoyable. The course materials are well-organized, and the support from both the instructor and the online community is outstanding. If you’re looking to learn how to leverage Python for web data manipulation, this is the course for you.

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