Free Data Visualization in Python Course

Data Visualization using Python

star 4.56  Intermediate level 3.0 learning hrs 84.6K+ Learners

Free Python data visualization course covering Matplotlib, Seaborn, and Plotly. Learn to compare plots, work with real datasets, and create clear visual insights using Python.

Key Highlights

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About this course

This free course introduces data visualization in Python and focuses on building practical skills using popular libraries. You will learn how to work with Matplotlib, Seaborn, and Plotly through clear code examples. The course explains how different plots work and how to choose the right chart for different data types. You will practice comparing plots using real datasets such as the Automobile dataset to understand patterns, trends, and insights.


You will also work with multiple datasets using Python tools such as Numpy and Pandas. The course includes hands on practice with Kaggle Automobile and Game datasets and shows how to visualize data using Seaborn. By the end of the course, you will know how to clean data, explore datasets, and present insights using effective visualizations.


After completing this course, you will feel confident creating and comparing data visualizations in Python for analysis and reporting. You will gain practical experience working with real datasets and writing visualization focused code. This course suits beginners who want to learn data visualization, students exploring data analysis, and professionals who want to improve Python data visualization skills using real examples.


Course outline

Packages for Data Visualization in Python

In this section, you will understand to work with Matplotlib, Seaborn, and Plotly Python packages for data visualization through demonstrated code snippets. 
 

Comparing different Plots in Python

This section gives you a hands-on demonstration to learn visualization techniques and compare different plots. It uses the Automobile dataset to explain the concepts thoroughly. 

Working and Visualising different datasets in Python

This section includes Python packages demonstration and sample problems to work with Numpy, Pandas with Kaggle Automobile and Game dataset, and Seaborn with Kaggle Game dataset. 

Get access to the complete curriculum once you enroll in the course

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Projects
Exploratory Data Analysis on Pima Indian Tribe
Some years ago a research is done on a tribe called Pima Indian. In this tribe, the ladies are prone to diabetes at a very early stage.So the objective of this project is to build a model based on the parameters given in the dataset and predict whether the person is likely to be diabetic or non diabetic.

Data Visualization using Python

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3.0 Hours

Intermediate

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84.6K+ learners enrolled so far

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Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.56
71%
21%
5%
1%
2%
“Great Course, Great Instructor, Loved It”
Great course. Great instructor. Loved it. Easy to follow. Well explained. Recommend.
Reviewer Profile

5.0

Country Flag United States
“Comprehensive and Engaging Course”
The instructor's clear explanations and the well-designed quizzes and assignments provided an excellent balance of theory and practice, ensuring I could apply what I learned. Highly recommend it for anyone looking to deepen their understanding!
Reviewer Profile

4.0

Country Flag India
“Highlight of My Learning Experience in Data Visualization Using Python”
I enjoyed learning how to effectively visualize data using Python libraries like Matplotlib and Seaborn. These tools allowed me to create clear, informative plots such as line charts, bar charts, and scatterplots. I particularly liked how these libraries made it easy to explore patterns and relationships in datasets. The ability to customize visualizations and create interactive plots using Plotly was also a great experience. It has enhanced my understanding of how to communicate insights visually and has significantly improved my data analysis workflow.
Reviewer Profile

5.0

“Review of a Completed Course: Data Visualization Using Python”
Excellent resource! The free tuition site provided comprehensive knowledge on data visualization using Python. Covered Matplotlib, Seaborn, and Plotly. Practice exercises and quizzes reinforced learning. Instructor-led videos were engaging and informative. Community support was helpful. Highly recommend for beginners and intermediate learners! 5/5 stars!
Reviewer Profile

5.0

Country Flag India
“Structured Curriculum, Hands-on Projects, Interactive Learning, Expert Guidance”
Learning data visualization with Python through Great Learning offers a comprehensive curriculum that covers popular libraries like Matplotlib, Seaborn, and Plotly. The course starts with the basics of Python programming and gradually delves into advanced visualization techniques. Hands-on projects with real-world datasets help you apply what you’ve learned and improve your practical skills. The platform offers expert guidance and mentorship, providing opportunities to interact with instructors and peers. This approach ensures a deep understanding of data visualization.
Reviewer Profile

5.0

Country Flag India
“An Engaging and Informative Course Experience”
I thoroughly enjoyed this course and found it to be highly informative and engaging. The curriculum was well-structured, covering a wide range of topics in depth. The instructors were knowledgeable and presented the material in a clear and concise manner. The quizzes and assignments were challenging yet fair, helping to reinforce the concepts learned. Overall, this course provided a comprehensive learning experience that was both enjoyable and educational.
Reviewer Profile

5.0

“Easy to Learn Python and Data Visualization”
I like its easy way of instructions. The language is easy. It is very informative. The voice of the instructor is also impressive. The course covers important topics. Data visualization is a very difficult task for new students, but learning this course, a student can visualize data in different kinds of charts. This course tells us different methods of plotting the data. Attending this course, a student finds that Python is a strong tool for growing in the IT industry.
Reviewer Profile

5.0

Country Flag India
“Insightful Course on Python with Practical Applications”
I appreciated the well-structured curriculum that made learning Python simple and engaging. The instructor’s explanations were clear, and the course provided a balance of theoretical concepts and practical applications. The interactive quizzes and assignments helped me test my understanding and gain confidence in using Python. Overall, it was an enriching and user-friendly learning experience.
Reviewer Profile

5.0

Country Flag India
“Good Introduction to Data Visualization Using Python”
The instructor was knowledgeable and provided clear explanations, making complex topics accessible. I especially appreciated the emphasis on storytelling through data and how to design visuals that communicate insights effectively. Overall, this course enhanced my ability to visualize data in meaningful ways, and I feel more confident in applying these skills to various data analysis projects. Highly recommend it to anyone looking to improve their data visualization skills!
Reviewer Profile

5.0

Country Flag India
“Amazing Data Visualization Course with the Best Instructor”
The best part was the exercises with the datasets from Kaggle. I enjoyed and learned a lot. Thanks.

What our learners enjoyed the most

Our course instructor

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Mr. Gurumoorthy Pattabiraman

Faculty, Data Science & ML, Great Learning

Machine Learning Expert

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101.4K+ Learners
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4 Courses
Gurumoorthy is a Techno-Functional Professional with over 10 years of experience in the IT & Analytics domains. He is an undergrad in Mathematics & postgrad in Actuarial Economics. He has headed the Global Analytics Team in one of the World's largest Shipping Companies and currently is the "Head of Industry Solutions" in the Analytics & Mobility spaces at a niche AR/VR/MR Start-up Company in Chennai. He has handled over 400 hours of Analytics training classes/workshops for Corporate and Individuals early in his career. He started his career as an Entrepreneur, handling clients on multiple Web Analytics & SEO/SEM Consulting Projects.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What prerequisites are required to learn this Data Visualization using Python course?

The free Data Visualization course requires you to have basic knowledge of Python programming. Anyone with Python skills can take the course and start learning from it without prior knowledge. 

How long does it take to complete learning Python for Data Visualization free course?

The course contains two and a half hours of video content that you can finish at your own convenience. Great Learning Academy courses are self-paced and can be finished whenever you get time. 

Will I have lifetime access to this free course?

Yes, the Great Learning Academy free course comes with lifetime access. Any learner who wants to brush up on their skills can revisit and take the course again. 
 

What are my next learning options after this course?

You can refer to the attached course study materials and work on the sample problems to strengthen your skills. Also, enthusiasts of the field can opt for Great Learning’s professional AI and Machine Learning course that covers all the essential skills to build one’s career.

Is it worth learning Data Visualization with skills in Python?

Yes, Data Visualization is an essential part of Machine Learning. Learners looking to build a career in the Data Science domain also need an understanding of Data Visualization. So, it provides excellent worth learning Data Visualization with competency in Python for Machine Learning enthusiasts. 
 

What is Data Visualization used for?

The graphic depiction of data and information is the focus of the interdisciplinary topic of data and information visualization. It is a particularly effective method of communication when the data or information is large, such as a time series.
 

Why is Data Visualization so popular?

Data visualization organizes the data into an understandable format and showing the trends and outliers, and assists in the presentation of data. A strong visualization highlights important information while reducing data noise.
 

What jobs demand that you learn Python for Data Visualization?

  • Data Science and Machine Learning are the fastest-growing fields, and many jobs require learning Python for Data Visualization. Some of these jobs are:
  • Data Administrator
  • Data Engineer
  • Data Scientist
  • ML Engineer
  • Business IT Analyst
  • Data Architect
  • Market Analyst
     

Will I get a certificate after completing this course?

Yes, once you finish the course modules, you can take the quiz that will reward you with a course completion certificate. The certificate showcases your skills and imparts value to your professional career. 

What knowledge and skills will I gain upon completing this course?

This free course will help you to understand the fundamental concepts of Data Visualization and imparts skills in Python to work with different packages for Data Science and Machine Learning tasks. The course is beneficial for developing Python skills to work with Data Visualization for the learner. 
 

How much does learning Python for the Data Visualization course cost?

The course is entirely free of cost. So any learner can enroll in this course and start learning to work with Python packages for Data Visualization purposes. 
 

Is there a limit on how many times I can take this Data Visualization course?

No, the course doesn’t set any limit to taking it. Learners can take this course as many times as they want. Hence, whenever you feel like revising your learnings, you can revisit the course and start learning again. 
 

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, there are a number of courses you can enroll in and start learning. You can sign up for as multiple courses as you want to enroll in simultaneously with Great Learning Academy. 
 

Why choose Great Learning Academy to learn Python programming for the Data Visualization course?

Great Learning Academy is an extensive platform that provides self-paced courses in various domains. Learners take benefit from these courses in their professional careers. There are more than 5 million learners worldwide who are benefitted from these courses. This course is helpful for enthusiasts looking forward to building a career in the Data Science domain. This course will familiarize you with Python packages to work on datasets, and helps you present data, and compare them. 
 

Who is eligible to take this Data Visualization course?

The free course can cater well to you if you have basic knowledge of working with Python programming. Hence, any learner with the intent to learn Data Visualization and acquire skills in Python can take the course without any nudge. 
 

What are the steps to enroll in this course?

You need to follow the steps below to enroll in this course:

1. Visit the Great Learning Academy homepage.
2. Search for the course in ‘Data Visualization Using Python’.
3. Now click on the ‘Enroll for Free’ button.
4. Register yourself with Great Learning Academy to enroll in any course by providing the required details and start learning the course for free. 
 

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