University of Colorado Boulder
Data Understanding and Visualization
University of Colorado Boulder

Data Understanding and Visualization

This course is part of Data Wrangling with Python Specialization

Taught in English

Di Wu

Instructor: Di Wu

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

25 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand and communicate the various statistical aspects of datasets, including measures of central tendency, variation, location, and correlation.

  • Utilize Pandas for data manipulation and preparation to set the foundation for data visualization.

  • Utilize Matplotlib and Seaborn to create accurate and meaningful data visualizations.

Details to know

Shareable certificate

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Assessments

4 quizzes, 1 assignment

Course

Gain insight into a topic and learn the fundamentals

Intermediate level

Recommended experience

25 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 Data Wrangling 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
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There are 4 modules in this course

The "Data Statistics" week provides students with a fundamental understanding of statistics as it relates to data analysis. You will explore essential statistical concepts, including measures of central tendency, variation, location, correlation, and other key statistical measures. This week serves as a crucial foundation for students to develop your data analysis and interpretation skills.

What's included

1 video4 readings1 quiz1 discussion prompt

The "Data Visualization with Pandas" week focuses on uilizing the Pandas package to create effective and insightful data visualizations. You will learn various data visualization techniques to present and communicate data in a clear and concise manner, enhancing your ability to derive valuable insights from datasets.

What's included

1 video2 readings1 quiz1 discussion prompt

The "Data Visualization with Matplotlib" week focuses utilizing the Matplotlib package to create visually appealing and informative data visualizations. You will learn various data visualization techniques to effectively present and communicate data insights, enabling you to derive valuable information from datasets.

What's included

1 video2 readings1 quiz1 discussion prompt

The "Data Visualization with Seaborn" week focuses on utilizing the Seaborn package to create sophisticated and visually appealing data visualizations. You will learn various data visualization techniques using Seaborn to effectively present and communicate complex data patterns and relationships, empowering you to gain valuable insights from datasets.

What's included

1 video2 readings1 quiz1 assignment1 discussion prompt

Instructor

Di Wu
University of Colorado Boulder
15 Courses28,718 learners

Offered by

Recommended if you're interested in Data Analysis

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