Free Data Visualization Courses Online with Certificates 2025

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Enrol for free in this highly rated Data Visualization with Power BI Course for Beginners and learn the basics. Experts provide hands-on instruction in this free course. Learn to create interactive visualizations. Join now and earn a certificate upon course completion.

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UNIVERSITY

Northwestern University

MS in Data Science Programme

18 months • Online

Live Sessions

UNIVERSITY

MIT Professional Education

Applied AI and Data Science Program

14 Weeks • Live Online

FREE

4.54 9.6K+ learners

Data Preprocessing

2 hrs

View Course

FREE

4.55 83K+ learners

Data Visualization using Python

2 hrs

View Course

FREE

4.45 12.2K+ learners

Python Matplotlib

1 hr

View Course

FREE

4.45 6.4K+ learners

Python Seaborn

1 hr

View Course

FREE

4.43 1.8K+ learners

Plotly Python

1 hr

View Course

FREE

4.52 112.4K+ learners

Data Visualization using Tableau

2 hrs

View Course

FREE

4.52 319.2K+ learners

Data Visualization With Power BI

1.5 hrs

View Course

FREE

Data Preprocessing

4.54 9.6K+ learners 2 hrs

FREE

Data Visualization using Python

4.55 83K+ learners 2 hrs

FREE

Python Matplotlib

4.45 12.2K+ learners 1 hr

FREE

Python Seaborn

4.45 6.4K+ learners 1 hr

FREE

Plotly Python

4.43 1.8K+ learners 1 hr

FREE

Data Visualization using Tableau

4.52 112.4K+ learners 2 hrs

FREE

Data Visualization With Power BI

4.52 319.2K+ learners 1.5 hrs

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Learner reviews of the Free Data Visualization Courses

Our learners share their experiences of our courses

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Syed Ali Kaif

5.0

★★★★ ★

“Insightful and Practical Learning Experience: Data Preprocessing with Joseph Deutsh”

I thoroughly enjoyed taking the free course on data preprocessing under Joseph Deutsh. The course was well-structured, with clear explanations of essential concepts such as handling missing data, feature scaling, and encoding categorical variables. Joseph’s teaching style was engaging, and he broke down complex topics in a way that was easy to follow, even for beginners. I highly recommend this course to anyone looking to build a solid foundation in data preprocessing. It’s perfect for beginners and even those with some experience who want to reinforce their understanding.

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Dilan Malaviarachchi

5.0

★★★★ ★

“My Experience in the Course Was Immensely Positive and Rewarding”

I particularly enjoyed the variety of teaching methods used, including interactive discussions, group projects, and practical applications. These elements not only kept the content engaging but also encouraged collaboration among students, enhancing our learning experience. The resources provided, such as supplementary materials and access to online forums, were invaluable for reinforcing our knowledge. Overall, this course has not only expanded my skill set but has also sparked a deeper passion for the subject. I highly recommend it to anyone looking to grow in this area.

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Muhammad Yasir Imtiaz

5.0

★★★★ ★

“Collaborating on Diverse Projects Broadened My Perspective”

I appreciate the course's engaging content, practical applications, and insightful discussions. It offers real-world examples and interactive activities that enhance understanding. The well-structured lessons and supportive community make learning enjoyable and effective.

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Mary Joy Galang

5.0

★★★★ ★

“Training on Data Gathering for Data Processing”

It would be beneficial to include more advanced topics or elective modules on emerging trends in data processing, such as big data tools or automation. Additionally, incorporating more interactive elements or group projects could further enhance the learning experience. Overall, the training was extremely valuable and has equipped me with essential skills to handle and process data efficiently. Thank you for the excellent program!

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Vasundhara Bhat

5.0

★★★★ ★

“My Experience with Data Visualization Using Python”

What I enjoyed most about the Data Visualization using Python course was the hands-on approach to learning how to use powerful libraries like Matplotlib, Seaborn, and Plotly. The course provided practical experience in creating a wide range of visualizations, from simple line plots to complex interactive charts. I particularly appreciated how the course emphasized transforming raw data into meaningful insights through visualization. Seeing data come to life in charts and graphs helped me understand the underlying patterns and trends much better. The ability to effectively communicate data findings through visualizations was a key takeaway for me, and it has significantly enhanced my skills in data analysis and presentation.

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Suhail Ahmed

5.0

★★★★ ★

“Hands-on Experience with Real Datasets”

I enjoyed learning how to use different visualization libraries like Matplotlib, Seaborn, and Plotly. The comparison of visualization techniques on real datasets helped solidify my understanding. The lab exercises were particularly useful in applying what I learned in a practical context.

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Krishna Priya R

4.0

★★★ ★ ☆

“An Amazing Experience with In-Depth Knowledge”

It was an incredibly enriching experience. Throughout the process, I gained a deep and comprehensive understanding of various Python concepts, especially in the realm of data visualization. I explored a range of powerful libraries and techniques, such as Matplotlib, Seaborn, and Plotly, which allowed me to create insightful, aesthetically pleasing visual representations of data. Each new concept I encountered helped me hone my coding skills and refine my approach to problem-solving.

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Khoo Zi Wei

5.0

★★★★ ★

“Learning New Knowledge and Concepts from the Video”

I like the way he demonstrated the data visualization using Seaborn and Matplotlib in Python.

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Yuri Brown

5.0

★★★★ ★

“Fantastic Tutorials: Clear, Concise, and Engaging”

I absolutely love these tutorials! They’re incredibly well-structured, with clear explanations and practical examples that make challenging topics accessible.

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Nimra Iqbal

5.0

★★★★ ★

“Data Visualization Using Python: Well Explained”

It was an outstanding experience learning data visualization using Python. The mentor explained each and everything perfectly.

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Frequently Asked Questions

What is Data Visualization, and why is it important?

Data Visualization represents data or information through impactful visuals like charts, graphs, and more. Through Data Visualization, you can get meaningful insights from a large scale of data more straightforwardly. Data Visualization leads to a smoother sailing of the many data-based projects. It allows businesses to recognize the patterns, outliers, and even errors in the data more efficiently.

What skills are required for Data Visualization?

If you are a tech-centered person, then you must know the programming languages that support Data Visualization. It is better to learn to manage the databases. You must understand the purpose and the needs of the audience concerning Data Visualization. You must choose the proper Data Visualization for providing the correct and crisp information. Make the visualization easy to read and keep it clean and clear.

How do you learn Data Visualization skills?

You can explore the programming languages, tools, and libraries that support Data Visualization. There are plenty of tutorials, articles, and courses available on the web that helps you get familiar with Data Visualization skills. Many learning platforms are there to help you learn Data Visualization skills.

Where can I learn Data Visualization?

Many tutorials, courses, blogs, and articles are available on the web for enthusiasts to learn. Great Learning is one such learning platform that provides free Data Visualization courses. You can enroll in these courses and get free Data Visualization certificates on completing the enrolled courses.

How difficult is Data Visualization?

Data Visualization is not as easy as it appears. It takes your time and knowledge to extract data and create impactful visualizations from it. You must know to utilize the software that supports Data Visualization efficiently. If you master keeping the balance between all the visual elements and provide powerful insights, Data Visualization becomes easier.