Rice University

Python Data Analysis

This course is part of Introduction to Scripting in Python Specialization

Taught in English

Some content may not be translated

Scott Rixner
Joe Warren

Instructors: Scott Rixner

37,989 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(880 reviews)

|

95%

Beginner level
No prior experience required
9 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

2 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(880 reviews)

|

95%

Beginner level
No prior experience required
9 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Introduction to Scripting in 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
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There are 4 modules in this course

This module will teach you about Python's dictionary data type and its capabilities. Dictionaries are used to map keys to values within programs.

What's included

7 videos2 readings1 quiz

This module will teach you about storing tabular data within Python programs using lists and dictionaries.

What's included

4 videos2 readings1 quiz

This module will teach you the basics of CSV files and how to read them from Python programs. We will discuss the use of Python's csv module to help you access tabular data in CSV files.

What's included

8 videos4 readings2 app items

This module will teach you how to sort data in Python. You will organize and analyze tabular data.

What's included

6 videos3 readings1 app item

Instructors

Instructor ratings
4.8 (122 ratings)
Scott Rixner
Rice University
11 Courses381,292 learners

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Rice University

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4.7

880 reviews

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AS
5

Reviewed on May 15, 2020

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Reviewed on Dec 4, 2020

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5

Reviewed on Aug 23, 2018

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