Data Understanding and Visualization
Master data visualization techniques using Python libraries like Pandas, Matplotlib, and Seaborn for effective data analysis and communication.
Course Cost
Free course
Intermediate
Skill Level
23 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Wrangling with Python Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Analyze datasets using fundamental statistical measures
Create effective visualizations using Pandas functionality
Develop custom plots and charts with Matplotlib
Build advanced visualizations using Seaborn
Choose appropriate visualization types for different data scenarios
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
4 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate

Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.





There are 4 modules in this course
This comprehensive course combines statistical understanding with practical data visualization skills using Python. Students learn essential statistical concepts including measures of central tendency, variation, and correlation, while mastering visualization techniques using popular Python libraries. The curriculum covers data manipulation with Pandas, creating basic to advanced visualizations with Matplotlib, and developing sophisticated data presentations using Seaborn. Through hands-on exercises and case studies, participants learn to choose appropriate visualization methods and create compelling data stories.
Data Statistics
Module 1 · 6 Hours to complete
Data Visualization with Pandas
Module 2 · 5 Hours to complete
Data Visualization with Matplotlib
Module 3 · 5 Hours to complete
Data Visualization with Seaborn
Module 4 · 7 Hours to complete
Fee Structure
Reviews
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.




