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

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4 modules

Gain insight into a topic and learn the fundamentals.

8 hours to complete

Flexible schedule

Learn at your own pace

4 modules

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

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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.

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

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

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

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

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

Bill Rosenthal

Logical Operations

158 Courses43,883 learners

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To access course materials, assignments, and earn a Certificate, you'll need to purchase the Certificate experience when you enroll in a course. Eligible learners may also have the option to start with a Free Trial. Some courses may also offer a Full Course, No Certificate option. This lets you access course materials, submit required assessments, and receive a final grade, but you won't be able to earn or purchase a Certificate.

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.

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