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Python Basics for Online Research専門講座University of California, Davis

学習内容

Practice with Python by bridging between the basics of a programming language and interacting with the Internet and address the human side of code.
Practice with strings, lists, Booleans, errors, lists, and list manipulation. Learn how people use code to represent real-world ideas.
Manipulate the flow of how your code runs, turning logic into useful work. Learn about loops, list comprehensions, and conditional statements.
Author more complex ideas and capabilities in Python using dictionaries, how to work with them and nest them, functions, refactoring, and debugging.

この専門講座について

6,288 最近の表示

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!

応用学習プロジェクト

While no formal requisites are necessary to join this specialization, you will be accessing and completing assignments in Jupyter Notebooks using the programming language Python in various APIs. On the technical skills side, this specialization will teach basic Python types, variables, code flow, and modules, up to functions.

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初級レベル

約4ヶ月で完了

2時間/週の推奨ペース

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共有できる証明書

修了時に証明書を取得

100%オンラインコース

自分のスケジュールですぐに学習を始めてください。

フレキシブルなスケジュール

柔軟性のある期限の設定および維持

初級レベル

約4ヶ月で完了

2時間/週の推奨ペース

英語

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専門講座の仕組み

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実践型プロジェクト

すべての専門講座には、実践型プロジェクトが含まれています。専門講座を完了して修了証を獲得するには、成功裏にプロジェクトを終了させる必要があります。専門講座に実践型プロジェクトに関する別のコースが含まれている場合、専門講座を開始するには、それら他のコースをそれぞれ終了させる必要があります。

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すべてのコースを終了し、実践型プロジェクトを完了すると、修了証を獲得します。この修了証は、今後採用企業やあなたの職業ネットワークと共有できます。

この専門講座には4コースあります。

コース1

コース 1

Python Basics: Interacting with the Internet

Students will begin in Python by bridging between the basics of a programming language and interacting with the Internet in fun new ways. In technical terms, the parts of Python you'll learn are arithmetic, variables, values, and modules. At a higher level, we'll learn what an API is by playing with cat memes. But separate from the technical part of coding, there's the psychological part. Topic lectures will address the human side of code, and make you feel more prepared to see yourself as someone who codes. The demos are the most fun and accessible part of this course. You will find pointers to several more in the honors module of this course.

コース2

コース 2

Python Basics: Retrieving Online Data

コース3

コース 3

Python Basics: Automation and Bots

Manipulating the flow of how your code runs is the major part of coding and learning to think in code. We'll experience turning logic into useful work by automatically reading all of Shakespeare, and by setting Python up to give you a call on the phone. In technical terms, the parts of Python you will learn are for loops, list comprehensions, and conditional statements, while at a higher level we'll get a lot on code style and other common ideas and practices that surround the specifics of how to code.

コース4

コース 4

Python Basics: Problem Solving with Code

A lot of code is building up from the most basic primitive elements of the language to increasingly faithful and meaningful things. In this course we will learn to author more complex ideas and capabilities in Python. In technical terms, you will learn dictionaries and how to work with them and nest them, functions, refactoring, and debugging, all of which are also thinking tools for the art of problem solving. We'll use this knowledge to explore our browsing history, interrogate a tweet, and draw pictures.

講師

Seth Frey

Professor and Computational Social Scientist

受講者1,875 名

4 コース

提供：

University of California, Davis

よくある質問

What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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.
Can I take the course for free?
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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
How long does it take to complete the Specialization?
This Specialization can take anyone 3-5 months to complete.
What background knowledge is necessary?
No background knowledge is necessary to work through this Specialization.
Do I need to take the courses in a specific order?
We highly encourage you complete the courses in the order specified as they do build on one another.
Will I earn university credit for completing the Specialization?
No, this specialization does not offer University credit.
What will I be able to do upon completing the Specialization?
This specialization will teach you to read, run, think, and play in code.

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Python Basics for Online Research専門講座

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