零基础 Python 入门 專項課程

• 退款政策是如何规定的？

  如果订阅，您可以获得 7 天免费试听，在此期间，您可以取消课程，无需支付任何罚金。在此之后，我们不会退款，但您可以随时取消订阅。请阅读我们完整的退款政策。

• 我可以只注册一门课程吗？

  可以！点击您感兴趣的课程卡开始注册即可。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分，系统会自动为您订阅完整的专项课程。访问您的学生面板，跟踪您的进度。

• 有助学金吗？

  是的。如果您负担不起学习计划的注册费，则可以在选择学习计划时申请助学金或奖学金。如果您选择的学习计划提供助学金或奖学金，则您将在描述页面上看到一个申请链接。

• 我可以免费学习课程吗？

  完成注册课程后，您可以学习专项课程中的所有课程，并且完成作业后可以获得证书。如果您只想阅读和查看课程内容，可以免费旁听该课程。如果您无法承担课程费用，可以申请助学金。

• 此课程是 100% 在线学习吗？是否需要现场参加课程？

  此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

• 完成专项课程后我会获得大学学分吗？

  此专项课程不提供大学学分，但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校了解详情。

• How long does it take to complete the Python for Everybody Specialization?

  Time to completion can vary based on your schedule and experience level, but most learners are able to complete the Specialization in about 8 months.

• 此专项课程中每门课程的开课频率为多久？

  Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over. The Capstone Project will be offered three times per year.

• What background knowledge is necessary?

  This Specialization is designed to serve as an on-ramp for programming, and has no pre-requisites. The pace of the first two courses is aimed at those with no programming experience at all.

• What are the payment options?

  You can pay for the entire Specialization upfront, or pay individually for each course as you progress. Financial aid is available for learners who qualify.

• Do I need to take the courses in a specific order?

  We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

• Will I earn university credit for completing the Python for Everybody Specialization?

  Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

• What will I be able to do upon completing the Python for Everybody Specialization?

  If you are new to programming, this Specialization will prepare you to take other courses and develop advanced skills. Recommended follow-up courses include Johns Hopkins University’s Data Science Specialization and the University of Michigan’s Web Design Specialization. If you have some prior experience in data analysis, this Specialization is an excellent way to add Python skills to your repertoire.

• What if I already earned a Course Certificate in Programming for Everybody (Python)?

  If you previously earned a verified Course Certificate for the Programming for Everybody (Python) course, you will automatically receive credit for completing courses 1 and 2 in the Specialization. You may begin with the third course of the Specialization, and you will receive a Specialization Certificate upon successful completion of courses 3 and 4 and the Capstone Project. However, if you earned an unverified Statement of Accomplishment, you will need to earn Course Certificates in all four courses, and successfully complete the Capstone Project.

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