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University & Pro Programs

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Northwestern University

18 months  • Online

Live Sessions
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MIT Professional Education

14 Weeks  • Live Online

Free Data Visualization Courses

img icon BASICS
Data Preprocessing
star   4.53 10K+ learners 2 hrs

Skills: Data Preparation,Feature Engineering,Variable Scaling,Variable Transformation,Binning the Data,Lambda Function,Correlation Checks for Bivariate Data,Outlier Treatment,Outlier Identification,Data Manipulation,Encoding Categorical Variables

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Data Visualization using Python
star   4.55 85.2K+ learners 2 hrs

Skills: Python Basics, NumPy, Pandas, Matplotlib, Seaborn, Plotly

img icon BASICS
Python Matplotlib
star   4.45 12.6K+ learners 1 hr

Skills: Line Plot, Bar Plot, Horizontal Bar Plot, Scatter Plot, Histograms, Box Plot, Violin Plot, Pie Chart, Donut Chart

img icon BASICS
Python Seaborn
star   4.45 6.5K+ learners 1 hr

Skills: Bar Plot in Seaborn, Scatterplot using Seaborn, Histograms and Jointplot, Working with Boxplots

img icon BASICS
Plotly Python
star   4.43 1.8K+ learners 1 hr

Skills: Jupyter Notebooks,Plotly,Matplotlib,Pandas,Data visualization ,Interactive Charting techniques,Cufflinks,Seaborn

img icon BASICS
Data Visualisation with R
star   4.51 6.4K+ learners 1 hr

Skills: ggplot2, EDA

img icon BASICS
Data Visualization using Tableau
star   4.52 116.2K+ learners 2 hrs

Skills: Business Intelligence Fundamentals, Data Visualization Principles, Introduction to Tableau, Understanding Data Types, Navigating the Tableau Interface, Creating Dashboards, Visual Analytics Techniques, Hands-on Tableau Exercises, Integrating Data Sources.

img icon BASICS
Power BI Projects
partner logo
star   4.48 33.5K+ learners 1 hr

Skills: Power BI interface navigation, fundamental data analysis concepts,Data import and connection, data source management,Data visualization best practices, creating interactive dashboards, data storytelling

img icon BASICS
Data Visualization With Power BI
partner logo
star   4.52 379.5K+ learners 1.5 hrs

Skills: Power BI usage, data loading, creating reports, dashboards, slicers & filters, visual interactivity

free icon BASICS
Data Preprocessing
star   4.53 10K+ learners 2 hrs

Skills: Data Preparation,Feature Engineering,Variable Scaling,Variable Transformation,Binning the Data,Lambda Function,Correlation Checks for Bivariate Data,Outlier Treatment,Outlier Identification,Data Manipulation,Encoding Categorical Variables

free icon BASICS
Data Visualization using Python
star   4.55 85.2K+ learners 2 hrs

Skills: Python Basics, NumPy, Pandas, Matplotlib, Seaborn, Plotly

pro icon PRO
Introduction to Amazon Q and QuickSight
free icon BASICS
Python Matplotlib
star   4.45 12.6K+ learners 1 hr

Skills: Line Plot, Bar Plot, Horizontal Bar Plot, Scatter Plot, Histograms, Box Plot, Violin Plot, Pie Chart, Donut Chart

free icon BASICS
Python Seaborn
star   4.45 6.5K+ learners 1 hr

Skills: Bar Plot in Seaborn, Scatterplot using Seaborn, Histograms and Jointplot, Working with Boxplots

free icon BASICS
Plotly Python
star   4.43 1.8K+ learners 1 hr

Skills: Jupyter Notebooks,Plotly,Matplotlib,Pandas,Data visualization ,Interactive Charting techniques,Cufflinks,Seaborn

free icon BASICS
Data Visualisation with R
star   4.51 6.4K+ learners 1 hr

Skills: ggplot2, EDA

pro icon PRO
Advanced Data Visualization using Power BI
star   4.51 8.2K+ learners 11 hrs
free icon BASICS
Data Visualization using Tableau
star   4.52 116.2K+ learners 2 hrs

Skills: Business Intelligence Fundamentals, Data Visualization Principles, Introduction to Tableau, Understanding Data Types, Navigating the Tableau Interface, Creating Dashboards, Visual Analytics Techniques, Hands-on Tableau Exercises, Integrating Data Sources.

free icon BASICS
Power BI Projects
star   4.48 33.5K+ learners 1 hr

Skills: Power BI interface navigation, fundamental data analysis concepts,Data import and connection, data source management,Data visualization best practices, creating interactive dashboards, data storytelling

free icon BASICS
Data Visualization With Power BI
star   4.52 379.5K+ learners 1.5 hrs

Skills: Power BI usage, data loading, creating reports, dashboards, slicers & filters, visual interactivity

Learn Data Visualization Courses For Free

These free data visualization courses for beginners build a practical learning path from data preparation to dashboard creation and interactive reporting. You learn data preprocessing steps such as feature engineering, scaling, transformation, binning, encoding categorical variables, outlier treatment, and correlation checks, then move on to visualization in Python using NumPy, Pandas, Matplotlib, Seaborn, and Plotly. This helps you prepare cleaner data, choose the right chart types, and present patterns more clearly for analysis and decision-making.


As you progress, you apply those skills using business-focused tools such as Tableau, Power BI, and Amazon QuickSight. You learn how to load data, create reports and dashboards, use slicers and filters, build interactive visuals, connect data sources, and apply visual analytics techniques across platforms. By the end of these free data visualization courses online, you are better prepared to turn raw data into clear insights, build stronger dashboards, and support reporting and analytics work with more confidence.

Skills You’ll Gain in These Best Free Data Visualization Courses

  • Creating Dashboards: Building interactive reports with tools like Power BI and Tableau.

  • Visual Storytelling: Choosing the right charts to represent data effectively.

  • Cleaning & Analysis: Using Python (Pandas/NumPy) or R to prepare data

  • Tool Proficiency: Using Power BI for interactive dashboards, Tableau for visual analytics, and Python libraries (Matplotlib, Seaborn, Plotly).

  • Chart Selection: Choosing the correct chart (bar, line, scatter) for different data types.


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Our learners also choose

Learner reviews of the Free Data Visualization Courses

Our learners share their experiences of our courses

4.52
69%
23%
6%
1%
1%
Reviewer Profile

5.0

Country Flag India
“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.
Reviewer Profile

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.
Reviewer Profile

5.0

Country Flag United Arab Emirates
“Engaging and Practical Data Preprocessing Course”
I really appreciated the way the course covered essential tools and skills for data preprocessing. The quizzes and assignments were well-designed and helped reinforce the concepts effectively. The content was easy to follow, and the in-depth explanations provided a solid foundation for understanding data gathering and preprocessing. A great learning experience overall!
Reviewer Profile

5.0

“Data Preprocessing Course: Incredibly Insightful and Practical”
The course covered essential topics like handling missing data, normalization, feature scaling, and encoding categorical variables. Each topic was presented in a step-by-step manner, which I found very helpful for solidifying my understanding. Overall, I highly recommend this course to anyone looking to strengthen their data preprocessing skills. It’s especially great for beginners or those seeking to reinforce their knowledge with practical, hands-on examples.
Reviewer Profile
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.
Reviewer Profile

5.0

Country Flag India
“My Experience Learning the Data Preprocessing Course at Great Learning Was Highly Positive”
I had a great experience learning the data preprocessing course at Great Learning. The course provided a comprehensive understanding of various techniques and methods for cleaning, transforming, and preparing data for analysis.
Reviewer Profile

5.0

Country Flag Philippines
“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!
Reviewer Profile

5.0

Country Flag India
“Very Effective and Best Learning”
Easily understandable. Great teaching. Very useful for college students.
Reviewer Profile

5.0

Country Flag India
“The Whole Course Was a Highlight and Knowledgeable”
The content of the course is good and knowledgeable and covered the topic in depth.
“Great Course, Great Instructor, Loved It”
Great course. Great instructor. Loved it. Easy to follow. Well explained. Recommend.

Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

instructor img

Mr. Bharani Akella

Data Scientist
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.
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Mr. Vishal Padghan

Vishal has 3+ years of experience in the field of Data Science, Digital Marketing and Cloud Computing. He has expertise in Cloud platforms Like AWS, Azure and has exposure to Paid Marketing, Organic Marketing and Content. He has been in the Digital space from the last 3 years and also, he has been involved in teaching numerous classes for Digital Marketing and Cloud Computing

Frequently Asked Questions

What will I learn in these free data visualization courses?

These free data visualization training courses cover data preprocessing, Python-based visualization, Matplotlib, Seaborn, Plotly, Tableau, Power BI, and Amazon Q with QuickSight. You learn data preparation, feature engineering, charting, dashboards, filters, slicers, and visual analytics across Python and BI tools.

Are these free data visualization courses for beginners a good starting point?

Yes. These best free data visualization courses are labeled BASICS or beginner level, including Data Preprocessing, Data Visualization using Tableau, and Data Visualization with Power BI. One core Python course is intermediate, so this set works best when you start with the beginner options and then move into Python-based work.

Why do learners see these as some of the best free data visualization courses?

These free online data visualization courses bring multiple tools into one path, rather than focusing on a single platform. It includes 9 courses, 600,000+ learners, and a 4.52/5 average rating, giving learners a broad range of options across Python, Tableau, and Power BI.

Which tools are covered in these free data visualization courses online?

These free data visualization training programs include Python, NumPy, Pandas, Matplotlib, Seaborn, Plotly, Jupyter Notebooks, Tableau, Power BI, and Amazon Q with QuickSight. That mix gives you both code-based visualization skills and dashboard tools used in business reporting.

What data preparation skills will I build in these free data visualization training courses?

These free data visualization courses with certificates include data preparation, feature engineering, variable scaling, variable transformation, binning, lambda functions, correlation checks, outlier treatment, data manipulation, and encoding categorical variables. Those skills help you prepare cleaner data before you chart it or build dashboards.

Do these best free data visualization courses online with certificate cover chart types and interactive visuals?

Yes. These best free data visualization courses cover line, bar, scatter, histogram, box, violin, pie, and donut charts using Matplotlib, plus Seaborn plots, interactive charting with Plotly, Tableau dashboards, and Power BI visual interactivity.

Are project-based lessons included in these free data visualization courses with certificates?

Yes. Advanced Data Visualization using Power BI includes 1 project, and Tableau includes hands-on exercises as part of dashboard creation and visual analytics work.

Do these free data visualization training programs include business intelligence and dashboarding?

Yes. Free data visualization courses online include Tableau and Power BI courses that cover business intelligence fundamentals, reports, dashboards, integrating data sources, slicers, filters, and visual analytics techniques.

Are these free data visualization courses online, self-paced, and will I keep access after enrollment?

At least some core courses state this clearly. Data Visualization using Python says Great Learning Academy courses are self-paced and include lifetime access, and the Power BI course says you get continued access after enrolling.