- Programming Principles
- Python Programming
- Java Programming
- Data Structure
- Computer Programming
- Python Tools
- Python Syntax And Semantics
- Data Science
- Python Libraries
- Data Analysis
- Data Visualization (DataViz)
- Java Tools
Introduction to Programming with Python and Java 专项课程
Boost Your Computer Programming Skills. With minimal previous exposure, learn two popular programming languages at an accelerated pace.
27,040 人已注册
您将学到的内容有
Describe core Python programming concepts, including how to configure tools for Python code and write fully functional programs using data structures
Examine core data science techniques and concepts using Python, including using data analysis libraries and developing data visualization skills
Apply core principles of object-oriented programming and Java to write fully functional programs using classes and methods, and perform unit testing
Understand Java inheritance and apply techniques for parsing text in files, using advanced data structures to store information, and debugging code
您将获得的技能
关于此 专项课程
34,902 次近期查看
This Specialization starts out by teaching basic concepts in Python and ramps up to more complex subjects such as object-oriented programming and data structures in Java. By the time learners complete this series of four courses, they will be able to write fully-functional programs in both Python and Java, two of the most well-known and frequently used programming languages in the world today.
Introduction to Programming with Python and Java is for students and professionals who have minimal or no prior programming exposure. It’s for motivated learners who have experience with rigorous coursework, and are looking to gain a competitive edge in advancing their career. It’s for folks who are thinking about applying to the University of Pennsylvania’s online Master of Computer and Information Technology degree and want to sample some of the lecture videos and content from the first course in the program. We hope this Specialization is for you.
Topics in this Specialization include language syntax, style, programming techniques, and coding conventions. Learn about best practices and good code design, code testing and test-driven development, code debugging, code and program documentation, and computational thinking.
应用的学习项目
Learners will write fully-functional Python programs, including an implementation of an online banking system and a data analysis project analyzing movies and ratings from IMDB. Learners will apply Python programming, file I/O, data analysis and visualization, using both PyCharm and Jupyter Notebook.
Learners will also write fully-functional Java programs, including a text file parser that reads, writes, and analyzes text files. Learners will apply Java programming, object-oriented principles, data structures, file I/O, unit testing, code debugging, using Eclipse.
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
High school or college math.
Minimal prior programming exposure may be helpful but not needed (e.g. Computational Thinking for Problem Solving).
完成课程大约需要 4 个月
建议进度：6 小时/周
英语（English）
字幕：英语（English）, 韩语
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
High school or college math.
Minimal prior programming exposure may be helpful but not needed (e.g. Computational Thinking for Problem Solving).
完成课程大约需要 4 个月
建议进度：6 小时/周
英语（English）
字幕：英语（English）, 韩语
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 4 门课程
Introduction to Python Programming
661 个评分
This course provides an introduction to programming and the Python language. Students are introduced to core programming concepts like data structures, conditionals, loops, variables, and functions. This course includes an overview of the various tools available for writing and running Python, and gets students coding quickly. It also provides hands-on coding exercises using commonly used data structures, writing custom functions, and reading and writing to files. This course may be more robust than some other introductory python courses, as it delves deeper into certain essential programming topics.
Data Analysis Using Python
233 个评分
This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization.
Introduction to Java and Object-Oriented Programming
130 个评分
This course provides an introduction to the Java language and object-oriented programming, including an overview of Java syntax and how it differs from a language like Python. Students will learn how to write custom Java classes and methods, and how to test their code using unit testing and test-driven development. Topics include basic data structures like Arrays and ArrayLists and overloading methods.
Inheritance and Data Structures in Java
47 个评分
This course provides a comprehensive look at Java inheritance, including access modifiers and overriding methods. Students are introduced to abstract classes, and will learn how to read and write to files, use regular expressions for parsing text, and how to leverage complex data structures like collections and maps.
提供方
宾夕法尼亚大学
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
立即开始攻读硕士学位
此 专项课程 与 宾夕法尼亚大学 提供的 100% 在线 Master of Computer and Information Technology 相关。它将为您提供主题、材料和授课教师的预览，以便您确定完整在线学位课程是否适合您。
常见问题
退款政策是如何规定的？
我可以只注册一门课程吗？
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？
Do I need to take the courses in a specific order?
Do I need to know how to program or have studied computer science in order to take this Specialization?
What will I be able to do upon completing this Specialization?
How much math do I need to know to take this Specialization?
Does this Specialization prepare me for the Master of Computer and Information Technology (MCIT) degree program at the University of Pennsylvania?
Where can I find more information about the Master of Computer and Information Technology (MCIT) degree program at the University of Pennsylvania?
完成专项课程后我会获得大学学分吗？
还有其他问题吗？请访问 学生帮助中心。
