The "Data Understanding and Visualization" course provides students with essential statistical concepts to comprehend and analyze datasets effectively. Participants will learn about central tendency, variation, location, correlation, and other fundamental statistical measures. Additionally, the course introduces data visualization techniques using Pandas, Matplotlib, and Seaborn packages, enabling students to present data visually with appropriate plots for accurate and efficient communication.
Data Understanding and Visualization
Data Understanding and Visualization
This course is part of Data Wrangling with Python Specialization
Instructor: Di Wu
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
25 hours to complete
3 weeks at 8 hours a week
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.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 assignments
Taught in English
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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.
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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 assignment1 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 assignment1 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 assignment1 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 readings2 assignments1 discussion prompt
Instructor
Offered by
Recommended if you're interested in Data Analysis
University of Colorado Boulder
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Frequently asked questions
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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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