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URL: https://www.coursera.org/learn/advanced-python-data-science-testing-distribution-lo094032

⇱ Advanced Python: Data Science, Testing, and Distribution | Coursera

Advanced Python: Data Science, Testing, and Distribution

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Advanced Python: Data Science, Testing, and Distribution

Included with

Gain insight into a topic and learn the fundamentals.
8 hours to complete
Flexible schedule
Learn at your own pace
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".

Details to know

Shareable certificate

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Recently updated!

January 2026

Assessments

1 assignment

Taught in English

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

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.

This is the third and final course in a multi-course Specialization. All of the courses in this Specialization require that you use the provided virtual machine, which includes an installation of Python. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.

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.

What's included

1 reading5 plugins

1 reading•Total 5 minutes
  • ⚠️READ THIS FIRST⚠️•5 minutes
5 plugins•Total 205 minutes
  • Lesson Introduction•5 minutes
  • Clean Data•65 minutes
  • Visualize Data•65 minutes
  • Implement Basic Machine Learning Using Regression•65 minutes
  • Lesson Summary•5 minutes

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.

What's included

4 plugins

4 plugins•Total 155 minutes
  • Lesson Introduction•5 minutes
  • Handle Exceptions•50 minutes
  • Write Unit Tests•50 minutes
  • Execute Unit Tests•50 minutes

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.

What's included

4 plugins

4 plugins•Total 80 minutes
  • Lesson Introduction•5 minutes
  • Create Python Packages•35 minutes
  • Generate Executable Files•35 minutes
  • Lesson Summary•5 minutes

You'll wrap things up and then validate what you've learned in this course by taking an assessment.

What's included

1 reading1 assignment1 plugin

1 reading•Total 5 minutes
  • Course Summary•5 minutes
1 assignment•Total 20 minutes
  • Course Assessment•20 minutes
1 plugin•Total 5 minutes
  • Appendices•5 minutes

Earn a career certificate

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Instructor

Logical Operations
158 Courses•39,167 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,