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
This course is part of Advanced Programming Techniques with Python Specialization

Instructor: Bill Rosenthal
Access provided by Effat University
What you'll learn
Manipulate and clean structured data using basic NumPy operations and pandas DataFrame transformations.
Visualize data groupings and trends by building custom plots with the matplotlib pyplot interface.
Train basic linear regression machine learning models and write automated unit tests using pytest.
Data files for this course are provided in the first course of this specialization, "Advanced Python: Object-Oriented Programming".
Skills you'll gain
- Package and Software Management
- Data Preprocessing
- Data Science
- Scripting Languages
- Debugging
- Data Cleansing
- Computer Programming
- User Interface (UI) Design
- Scripting
- Object Oriented Programming (OOP)
- Object Oriented Design
- Databases
- Machine Learning
- Unit Testing
- Programming Principles
- Regression Analysis
- Software Development
Tools you'll learn
Details to know

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January 2026
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