Intro to Python: Setup and Data Processing

Intro to Python: Setup and Data Processing

This course is part of Introduction to Programming with Python Specialization

Instructor: Bill Rosenthal

Access provided by Single Supervisory Mechanism

4 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

In this course, you will set up Python, develop a simple application, and perform operations on multiple data types.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

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Build your subject-matter expertise

This course is part of the Introduction to Programming 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

This course will be useful to anyone new to programming. You will learn how to set up a Python development environment and develop a simple application. You will also perform operations on simple data types like strings and numbers, as well as on more data structures like lists, ranges, tuples, dictionaries, and sets.

Before you start developing programming projects in Python®, you must set up a computer with the tools you need. Once you have done so, you can create a new programming project, and start writing and testing your code.

What's included

1 reading7 plugins

In any programming language, knowing how to work with data types is essential. Not all data types are the same, and being able to recognize what you can and can't do with each will help you make the most of your Python® code.

What's included

4 plugins

You've processed simple data types, but Python® also supports more complex data structures. These data structures make almost any application, no matter how large and complex, much more powerful and easy to write.