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Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
If you don’t have a programming background yet and want to learn, this specialization aims to make learning Python easier. It has four main goals:
Learning to code can be a challenging process, so this internship demonstrates the importance of motivation. You need to want to learn to code and persevere through various learning activities, experimentation, research, and self-practice. This internship won’t immediately launch you into the world of coding, but it will help you develop a good approach to programming, understand technical Python concepts, and appreciate what Python can do to access information on the web. These skills are becoming increasingly essential for researchers.
The wealth of data now available to researchers who can use Python and other tools to access it is transforming fields of study, including the social sciences. But there’s a gap between the questions about human nature that results from the Internet can illuminate and the messy reality of code and data. Each course in this specialization includes code demos that you run, showing how to use Python to bridge the gap and discover things about ourselves, our friends, and society as we engage with the Internet in code.
While there are no formal requirements to join this internship, you will access and complete tasks in Jupyter Notebooks using the Python programming language and a variety of APIs. On the technical skills side, this internship will teach you about basic Python types, variables, code flow, and modules, down to the level of functions.
