This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
零基础 Python 入门 专项课程
Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data.
308,927 人已注册！
提供方
关于此 专项课程
您将学到的内容有
Create your own applications for data retrieval and processing
Describe the basics of the Structured Query Language (SQL) and database design
Explain the basics of programming computers using Python
Understand fundamental programming concepts such as data structures
您将获得的技能
JsonXmlPython ProgrammingDatabase (DBMS)
100% 在线课程
立即开始，按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
初级
完成时间大约为4 个月
建议 12 小时/周
英语（English）
字幕：英语（English）, 阿拉伯语（Arabic）, 中文（简体）, 韩语, 德语（German）
专项课程的运作方式
加入课程
Coursera 专项课程是帮助您掌握一门技能的一系列课程。若要开始学习，请直接注册专项课程，或预览专项课程并选择您要首先开始学习的课程。当您订阅专项课程的部分课程时，您将自动订阅整个专项课程。您可以只完成一门课程，您可以随时暂停学习或结束订阅。访问您的学生面板，跟踪您的课程注册情况和进度。
实践项目
每个专项课程都包括实践项目。您需要成功完成这个（些）项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程，则需要在开始之前完成其他所有课程。
获得证书
在结束每门课程并完成实践项目之后，您会获得一个证书，您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。
此专项课程包含 5 门课程
零基础程序设计（Python 入门）
77,264 个评分
This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook “Python for Everybody”. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.
Python 数据结构
40,887 个评分
This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.
使用 Python 访问网络数据
24,135 个评分
This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.
Python 数据库开发
14,652 个评分
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.
关于 密歇根大学
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
常见问题
什么是 Coursera Plus 及其退款政策？
退款政策是如何规定的？
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？
我可以免费学习课程吗？
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.
还有其他问题吗？请访问 学生帮助中心。
© 2020 Coursera Inc.保留所有权利。
