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โ‡ฑ Intro to Python: Setup and Data Processing | Coursera


Intro to Python: Setup and Data Processing

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Intro to Python: Setup and Data Processing

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

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.

Details to know

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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 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.

This is the first 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 module of this course go into more detail about the hardware and software requirements.

Before you start developing programming projects in Pythonยฎ, 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

1 readingโ€ขTotal 5 minutes
  • Course Introductionโ€ข5 minutes
7 pluginsโ€ขTotal 220 minutes
  • Getting Started with This Courseโ€ข30 minutes
  • Lesson Introductionโ€ข5 minutes
  • Set Up the Development Environmentโ€ข45 minutes
  • Write Python Statementsโ€ข45 minutes
  • Create a Python Applicationโ€ข45 minutes
  • Prevent Errorsโ€ข45 minutes
  • Lesson Summaryโ€ข5 minutes

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 Pythonยฎ code.

What's included

4 plugins

4 pluginsโ€ขTotal 55 minutes
  • Lesson Introductionโ€ข5 minutes
  • Process Integers and Stringsโ€ข30 minutes
  • Process Decimals, Floats, and Mixed Number Typesโ€ข15 minutes
  • Lesson Summaryโ€ข5 minutes

You've processed simple data types, but Pythonยฎ 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.

What's included

4 plugins

4 pluginsโ€ขTotal 90 minutes
  • Lesson Introductionโ€ข5 minutes
  • Process Ordered Data Structuresโ€ข40 minutes
  • Process Unordered Data Structuresโ€ข40 minutes
  • Lesson Summaryโ€ข5 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 assignment

1 readingโ€ขTotal 5 minutes
  • Course Summaryโ€ข5 minutes
1 assignmentโ€ขTotal 15 minutes
  • Course Assessmentโ€ข15 minutes

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Instructor

Logical Operations
158 Coursesโ€ข37,588 learners

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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.

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