Python Basics for Online Research

If you're new to coding and eager to learn Python, this Specialization is designed to ease the learning curve and cultivate a mindset for coding. With a focus on motivation, it aims to inspire you to think and work in code, teaching the technical concepts of Python and providing practical examples of its applications. The course emphasizes the importance of perseverance through multiple learning activities, self-experimentation, research, and practice to build a strong foundation in coding.

Throughout the program, you'll gain hands-on experience with Python, learning to interact with the Internet and address the human side of code. The topics covered include strings, lists, Booleans, errors, list manipulation, loops, list comprehensions, conditional statements, dictionaries, functions, refactoring, and debugging. Additionally, you'll discover how Python can be used to access and manipulate data on the Internet, enabling you to bridge the gap between raw data and real-world ideas.

• Python Basics: Interacting with the Internet - Explore the basics of coding, including what APIs are, while learning to interact with the Internet using Python.
• Python Basics: Retrieving Online Data - Gain strategies for seeking coding help and access online data sources, such as Wikipedia and Twitter, using Python.
• Python Basics: Automation and Bots - Learn to automate tasks and interact with social media platforms through Python, including the use of the Twilio API.
• Python Basics: Problem Solving with Code - Delve into web browsing habits, manage code complexity, and explore Python's capabilities in drawing and debugging code.

This Specialization offered by the University of California, Davis, is ideal for individuals interested in leveraging Python for online research and accessing data on the Internet to enhance their research capabilities.