To round out your advanced implementation of Python, in this course, you'll clean and visualize data, and apply basic machine learning principles. You'll also handle exceptions and write and execute unit tests, as well as create and distribute Python packages.
Advanced Python: Data Science, Testing, and Distribution
Advanced Python: Data Science, Testing, and Distribution
位教师：Bill Rosenthal
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您将获得的技能
- Object Oriented Programming (OOP)
- Package and Software Management
- Debugging
- Data Cleansing
- Scripting
- Scripting Languages
- Unit Testing
- Regression Analysis
- Python Programming
- Data Science
- Computer Programming
- Object Oriented Design
- Machine Learning
- User Interface (UI) Design
- Relational Databases
- Data Preprocessing
- Databases
- Software Development
- Programming Principles
- Database Application
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作业
1 项作业
授课语言：英语（English）
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January 2026
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本课程是 Advanced Programming Techniques with Python 专项课程 专项课程的一部分
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该课程共有4个模块
Python® is one of the most popular programming languages in the field of data science. This includes everything from data cleaning, to data analysis, to data visualization, and much more—all of which Python excels at. In this lesson, you will program Python for data science applications.
涵盖的内容
1篇阅读材料5个插件
Before your applications will be ready for people to use, you must ensure that they run error free and can handle any user, system, or data issues you can anticipate. In this lesson, you will handle exceptions and write and execute unit tests.
涵盖的内容
4个插件
Once you've created an application, you may want to think about sharing it with the world. The default Python® installation includes utilities to help you bundle all of the files required for your application into one place for easy distribution.
涵盖的内容
4个插件
You'll wrap things up and then validate what you've learned in this course by taking an assessment.
涵盖的内容
1篇阅读材料1个作业1个插件
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