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Using Python to Access Web Data

A comprehensive beginner-friendly course that provides practical insights into web data extraction using Python, perfect for those looking to enhance their data analysis capabilities.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What you will learn in Using Python to Access Web Data Course

  • Use regular expressions to extract data from strings.

  • Understand the protocols web browsers use to retrieve documents and web apps.

​​​​​​​​​​

  • Retrieve data from websites and APIs using Python.

  • Work with XML (eXtensible Markup Language) data.​

Program Overview

Module 1: Getting Started
⏳  3 hours

  • Install Python and a text editor. Transition from the browser-based Python environment to a local setup to handle more complex programs.

Module 2: Regular Expressions (Chapter 11)
⏳  3 hours

  • Learn to use regular expressions to search and extract data from strings efficiently.

Module 3: Networks and Sockets (Chapter 12)
⏳  3 hours

  • Understand how web browsers retrieve documents and how applications interact with APIs using network protocols.

Module 4: Programs that Surf the Web (Chapter 12)
⏳  3 hours

  • Use Python to retrieve data from websites and APIs over the Internet.

Module 5: Web Services and XML (Chapter 13)
⏳  3 hours

  • Retrieve and parse XML (eXtensible Markup Language) data.

Module 6: JSON and the REST Architecture (Chapter 13)
⏳  3 hours

  • Work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format.

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Job Outlook

  • Completing this course prepares you for roles such as Data Analyst, Web Developer, or Python Developer.

  • The skills acquired are applicable across various industries that utilize web data extraction and analysis.

  • Enhance your employability by gaining practical experience in web scraping and data parsing using Python.

9.7Expert Score
Highly Recommended
The "Using Python to Access Web Data" course offers a comprehensive and practical approach to mastering web data extraction using Python. It's ideal for learners aiming to enhance their data analysis skills.
Value
9
Price
9.2
Skills
9.6
Information
9.7
PROS
  • No prior experience required, making it accessible to beginners.
  • Self-paced learning with a flexible schedule.
  • Taught by experienced instructors from the University of Michigan.
  • Provides a holistic view of web data extraction, encompassing technical and practical perspectives.
CONS
  • Requires consistent time commitment to complete all modules within the recommended timeframe.
  • Some advanced topics may not be covered in depth.

Specification: Using Python to Access Web Data

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

Using Python to Access Web Data
Using Python to Access Web Data
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