In this course, you will learn how to read and write data from and to a file. You will also examine how to manipulate and analyze the data using lists, tuples, dictionaries, sets, and the pandas and Matplot libraries.
Data Analysis and Visualization with Python
Data Analysis and Visualization with Python
This course is part of Python: A Guided Journey from Introduction to Application Specialization
Instructors: Adwith Malpe
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Students will learn how to perform data analysis and visualization using python.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
12 assignments
Taught in English
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This course is part of the Python: A Guided Journey from Introduction to Application Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
In this module, we will discuss lists, tuples, dictionaries and sets.
What's included
5 videos15 readings5 assignments
In this module, you will explore how to read in data from a file, store information to a file, and modify a file.
What's included
3 videos9 readings4 assignments
In this module, you will explore libraries that allow you to manipulate data.
What's included
5 videos9 readings3 assignments1 peer review
Offered by
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University of Michigan
University of Michigan
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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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. If you only want to read and view the course content, you can audit the course for free.
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