Otavio

“The learning paths on Dataquest are incredible. They give you a direction through the learning process – you don’t have to guess what to learn next.”

Otávio Silveira

Data Analyst @ Hortifruti

Course overview

This course is a deep dive into the world of APIs and web scraping, providing hands-on experience with Python tools and libraries. You will start by understanding API structures, progressing to sophisticated data retrieval and analysis methods. The curriculum includes mastering the Python requests library, handling JSON data, data filtering, error handling, authentications, and web scraping techniques. Each lesson is anchored in real-world scenarios, helping you develop market-relevant skills and gain a better understanding of the world of AI. By the end of this course, you’ll be adept at extracting and manipulating data from diverse sources for both analytical and development purposes.

Key skills

  • Understanding and interacting with APIs using Python
  • Advanced web scraping techniques for data extraction
  • Effective data handling with the Python requests library and JSON
  • Query parameters and data filtering
  • Navigating authentication, API keys, and understanding rate limits in API Usage

Course outline

APIs and Web Scraping for AI Applications [3 lessons]

Optional Query Parameters and Data Filtering 2h

Lesson Objectives
  • Understand the purpose and usage of optional query parameters in API requests.
  • Apply query parameters to filter API data requests.
  • Handle invalid parameter values and troubleshoot issues.
  • Implement pagination in API requests.

Authentication, API Keys, and Rate Limits 2h

Lesson Objectives
  • Understand the concept of authentication in API usage.
  • Obtain and use API keys for accessing protected data.
  • Navigate API documentation to understand basic and advanced features.
  • Understand API quotas and how they impact data retrieval.
  • Understand the concept of rate limits in API usage.
  • Apply techniques to avoid exceeding rate limits.

Web Scraping 2h

Lesson Objectives
  • Understand the concept and ethical considerations of web scraping.
  • Learn the practical applications of web scraping.
  • Learn techniques to extract data from web pages.
  • Handle common errors and exceptions in web scraping.
  • Understand the role of HTML elements, IDs, and classes in web scraping.
  • Apply CSS selectors for targeted data extraction.

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Work with real data from day one with interactive lessons and hands-on exercises.

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Aaron

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessi

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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