本课程是 Python Basics for Online Research 专项课程专项课程的一部分

Seth Frey

提供方

Python Basics for Online Research 专项课程University of California, Davis

课程信息

8,781 次近期查看

Python doesn't just represent numbers, but also text and other kinds of things. In technical terms, the parts of Python you'll learn are strings, lists, Booleans, errors, lists, and list manipulation. At a higher level you will learn how people use code to represent real-world ideas. In the process you'll use Python to automatically read Wikipedia and Twitter.

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可分享的证书

完成后获得证书

100% 在线

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第 2 门课程（共 4 门）

Python Basics for Online Research 专项课程

中级

完成时间大约为12 小时

英语（English）

您将学到的内容有

Learn strategies for getting coding help and run code to automatically access thousands of pages on Wikipedia.
Practice playing with text, numbers, true/false values in Python and learn how to handle error messages and ask for help.
Learn how Python lets us change, grow, access, and play with lists.
Run code that accesses Twitter from Python, interact with virtually every aspect of Twitter, and learn about social media bots.

可灵活调整截止日期

根据您的日程表重置截止日期。

可分享的证书

完成后获得证书

100% 在线

立即开始，按照自己的计划学习。

第 2 门课程（共 4 门）

Python Basics for Online Research 专项课程

中级

完成时间大约为12 小时

英语（English）

授课教师

Seth Frey

Professor and Computational Social Scientist

1,812 个学生

4 门课程

提供方

University of California, Davis

授课大纲 - 您将从这门课程中学到什么

周

周 1

完成时间为 3 小时

Your Chances of Becoming Famous Using Python

完成时间为 3 小时

3 个视频（总计 28 分钟）, 4 个阅读材料, 2 个测验

周

周 2

完成时间为 3 小时

Representing Ideas in Python

完成时间为 3 小时

8 个视频（总计 51 分钟）

周

周 3

完成时间为 4 小时

Representing Collections in Python

完成时间为 4 小时

9 个视频（总计 54 分钟）, 1 个阅读材料, 2 个测验

周

周 4

完成时间为 3 小时

Course Summary & Honors: Interactive Demo

完成时间为 3 小时

6 个视频（总计 41 分钟）, 3 个阅读材料, 1 个测验

关于 Python Basics for Online Research 专项课程

Online social science methods use technology to push the bounds of what we can know about human interaction and communication. The digitization of communication has provided a wealth of data that is transforming the social sciences. But there's a gap between the important questions about human nature and the raw, messy reality of code and data. In this 4-course specialization, we will bridge the gap, learning enough of a popular programming language—Python—to discover things about ourselves, our friends, each other, and society, as we interact with the Internet in code.

No prior skills or knowledge are assumed. Really this specialization is a "Pre-introduction" to code. On the technical skills side, this specialization will teach basic Python types, variables, code flow, and modules, up to functions. But you won't actually write any code. Instead this specialization will teach you to read, run, think, and play in code. That is because there is so much we can do to inspire and prepare you before you've even written your first line. It is recommended to take each course in the specialization and in sequence, as the four courses build off of each other. We look forward to being a part of your continuing education!

常见问题

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Python Basics: Retrieving Online Data

课程信息

您将学到的内容有