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Data Understanding and Visualization
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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.

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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

Python Programming
Data Visualization
Matplotlib
Seaborn
Pandas
Statistical Analysis
Data Analysis
Charts and Graphs
Data Communication
Python Libraries

This course includes:

1.5 Hours PreRecorded video

4 quizzes, 1 assignment

Access on Mobile, Tablet, Desktop

FullTime access

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Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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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.

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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

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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.

Data Understanding and Visualization

Intermediate

Skill Level

23 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.