Codio

Data Analysis in Python

Sharon Jason

Instructor: Sharon Jason

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Recently updated!

November 2024

Taught in English

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Build your subject-matter expertise

This course is part of the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course

Welcome to Week 1 of the Data Analysis in Python course. These assignments cover introductory topics such as Printing and Sorting, Data Types, and Statistical Functions.

What's included

5 readings4 app items

Welcome to Week 2 of the Data Analysis in Python course. These assignments cover logical operators, importing a data frame, and selecting data. The module ends with graded summative assessments.

What's included

5 readings4 app items

Welcome to Week 3 of the Data Analysis in Python course. These assignments cover conditionals, handling incomplete data sets, and merges and joins. The module ends with graded summative assessments.

What's included

5 readings4 app items

Welcome to Week 4 of the Data Analysis in Python course. These assignments cover Comparison tests, importing a data frame, and selecting data. The module ends with graded summative assessments.

What's included

5 readings4 app items

Welcome to Week 5 of the Data Analysis in Python course. This lab covers the material from the first four weeks of this course.

What's included

1 app item

Instructor

Sharon Jason
Codio
5 Courses9,131 learners

Offered by

Codio

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