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Python-Based Data Visualization Techniques
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CERTIFICATE

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Python-Based Data Visualization Techniques

Master data visualization techniques using Python libraries like Matplotlib, Seaborn, and Plotly to create compelling visual stories.

Course Cost

Free course

Intermediate

Skill Level

17 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 IBM Data Science Professional Certificate 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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4.5

2,91,219 Enrolled

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English

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olive-leaves-logo

4.5

2,91,219 Enrolled

olive-leaves-logo

English

What you'll learn

  • Create basic and advanced charts using Python libraries

  • Develop interactive dashboards with Plotly and Dash

  • Generate geospatial visualizations with Folium

  • Produce data-driven visual stories

  • Implement best practices in data visualization

Skills you'll gain

Python Programming
Data Visualization
Matplotlib
Seaborn
Plotly
Dash
Folium
Interactive Dashboards
Geospatial Visualization
Chart Creation

This course includes:

2.08 Hours PreRecorded video

12 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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

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Certificate
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 5 modules in this course

This comprehensive course teaches data visualization techniques using Python libraries. Students learn to create various types of visualizations including basic charts (line, area, bar, pie), advanced plots (waffle charts, word clouds, regression plots), and geospatial visualizations using Folium. The course emphasizes hands-on practice with Matplotlib, Seaborn, and Plotly, culminating in creating interactive dashboards using Dash. Through practical labs and a final project analyzing automobile sales data, learners develop skills in presenting complex data in compelling and insightful ways.

Introduction to Data Visualization Tools

Module 1 · 2 Hours to complete

Basic and Specialized Visualization Tools

Module 2 · 3 Hours to complete

Advanced Visualizations and Geospatial Data

Module 3 · 2 Hours to complete

Creating Dashboards with Plotly and Dash

Module 4 · 5 Hours to complete

Final Project and Exam

Module 5 · 5 Hours to complete

Fee Structure

Reviews

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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.

Python-Based Data Visualization Techniques

Intermediate

Skill Level

17 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.