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 KGiSL Educational Institutions
Gain insight into a topic and learn the fundamentals.
8 hours to complete
Flexible schedule
Learn at your own pace
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
- Machine Learning
- Databases
- Computer Programming
- Scripting Languages
- Object Oriented Programming (OOP)
- Debugging
- User Interface (UI) Design
- Scripting
- Object Oriented Design
- Package and Software Management
- Data Preprocessing
- Data Science
- Data Cleansing
- Programming Principles
- Regression Analysis
- Software Development
- Unit Testing
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
Recently updated!
January 2026
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Advanced Programming Techniques with Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
