关于此 专项课程

4,379 次近期查看
How many times have you decided to learn a programming language but got stuck somewhere along the way, grew frustrated, and gave up? This specialization is designed for learners who have little or no programming experience but want to use Python as a tool to play with data. In the first course, Introduction to Python Fundamentals, you will learn the basic input and output methods in Python, so you can write your first program. You will learn variables, operations, and flow control statements for more advanced programming. In the second course, Introduction to Python Functions, you will create and use functions to make your programs reusable and adaptive. You will also learn how to utilize basic packages. In the third course, Python Packages for Data Science, you will gain familiarity with the packages specifically used for data science, such as Pandas, Numpy, Matplotlib, and Seaborn. In this specialization, you will learn that programming in Python is like building with LEGO: you simply follow instructions, choose the pieces that fit together, and create something fulfilling and unique. Instead of giving up in frustration, you will discover that learning Python can be easy and fun.
可分享的证书
完成后获得证书
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
完成课程大约需要 3 个月
建议进度:5 小时/周
英语(English)
可分享的证书
完成后获得证书
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
完成课程大约需要 3 个月
建议进度:5 小时/周
英语(English)

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 3 门课程

课程1

课程 1

Introduction to Python Fundamentals

4.6
10 个评分
课程2

课程 2

Introduction to Python Functions

课程3

课程 3

Python Packages for Data Science

提供方

Placeholder

科罗拉多大学波德分校

常见问题

还有其他问题吗?请访问 学生帮助中心