11 Best Free Data Visualization Courses (December 2023)

Data visualisation is widely recognised as a rapidly expanding discipline in contemporary society. Coursera offers a comprehensive collection of more than 100 certifications and classes designed to facilitate the development of abilities in this domain, regardless of the individual’s existing proficiency level.

One can pursue proficiency in renowned programmes such as Tableau, Python-based visualisation, sophisticated Excel, and other similar resources.

Select from the available options that align with your specific needs and incorporate the relevant principles, afterwards implementing them in a practical project within a real-world context.

If one possesses an inclination for the subject matter, it would be advisable to peruse a selection of the most exceptional Tableau Courses accessible via web platforms.

Highlights 

• Navigate the tools and software to solve real-life challenges.
• Understand the fundamentals and attempt the accompanying quizzes to measure your grasp on the topics covered.
• A wide variety of examples and demonstrations help you to get a clearer view of the topics.
• Use the data gained from different sources to evaluate strategic alternatives and draw insights.
• The flexible deadline allows you to learn at your convenience.

Duration of Course: This course is designed to be completed at the student’s own pace.

Overall Rating by Students: 4.6 out of 5

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3. Data Visualization Expert (Simplilearn)

This course is intended for newcomers to data-driven positions as well as data professionals interested in understanding visualization techniques.

This comprehensive programme will teach you how to generate visualizations from enormous amounts of data and deliver data-driven tales.

With the use of industrial examples and hands-on projects, you will investigate various principles, frameworks, and tools for data visualization. Simplilearn’s Data Visualization Expert course will teach you how to use data and images to deliver compelling stories and make data-driven decisions.

You will have mastered Tableau Desktop, a widely used data visualization, reporting, and business intelligence tool, by the end of this online curriculum.

Highlights 

• Learn to use the tool effectively for preparing data, creating interactive dashboards, and adding different dimensions
• Be able to define statistics, a basic part of data science, and important terms related to it
• Learn to create the perfect visualizations with advanced data-graphics tools and Power BI that will help make data-driven business decisions
• Get 6+ real-life Data visualization projects, industry-recognized course completion certificate, and 24*7 learning assistance
• Make your career advance in analytics through this online Tableau training and gain job-ready skills

Duration of Course: 4 months, 5-10 hours/week

Overall Rating by Students: 4.7 out of 5

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4. Data Visualization in Python (Codecademy)

Codecademy offers a Data Visualisation in Python course that teaches you how to show data using Python, Matplotlib, and Seaborn.

This course begins by discussing why you should study data visualisation and how it might benefit you. With the help of Data Visualisation, you will learn how to understand complex topics or detect new patterns, how to create an argument, and how to explore your thinking in many ways.

Aside from Python, you will be exposed to Matplotlib and Seaborn, which allow users to easily and quickly construct visualisations. Check out our list of the Top Python Data Visualisation Courses.

Highlights 

• A very effective and knowledgeable Data Visualization course available online for all individuals
• Know about different graphing tools that are used in Python for data visualization
• Learn how to create graphs, bar charts, pie graphs, and many other aspects of Matplotlib
• Understand Seaborn that works as an add-on to Matplotlib for styling graphs more professionally and creating sleeker graphics
• Learn how to choose color schemes for your figures and take them to the next level
• Get quizzes and practice exercises to stretch your knowledge and skills
• Create portfolio projects at the end of the course to showcase your skills

Duration of Course: 6 hours

Overall Rating by Students: 4.6 out of 5

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5. Data Visualization – Nanodegree Certification (Udacity)

This programme is designed to assist individuals who possess a foundational understanding of data analysis methodologies and seek to further develop their skills in this area.

The initial step involves acquiring the skill to choose the most suitable data visualisation technique for analysis purposes and critically assess its efficacy.

Subsequently, the process will commence with the construction of interactive Tableau dashboards, tailored to the specific requirements and metrics outlined by the user.

Upon completion of the course, students will acquire proficiency in crafting interactive narratives utilising data and delivering suggestions derived from the data.

Highlights

• Define an effective problem statement, structure a data presentation, scope analyses, identify biases in your data.
• Understand the limitations within your datasets and create the dashboards accordingly.
• Use storypoint to add interactivity and visual elements to a story.
• Add animation and narration with Tableau Pages and Flourish.
• The one on one mentor will guide you throughout the journey and answer your doubts.

Duration of Course: 4 months, 10 hours per week

Overall Rating by Students: 4.5 out of 5

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6. Data Analysis and Visualization with Power BI (Udacity)

The purpose of this advanced programme in data analysis and visualisation is to facilitate the acquisition of essential skills necessary for individuals aspiring to excel as data analysts in the current job market.

This syllabus encompasses a range of principles, such as data pre-processing and visualisation, as well as analysis utilising Power BI as the principal tool.

The course comprises three distinct learning modules that encompass three fundamental aspects of data analysis and visualisation.

These modules include an introductory module on data preparation and modelling, a module on creating visualisations using Power BI, and an advanced data analysis module.

Throughout the duration of the sessions, you will engage in interactions with your teachers in order to submit and address any inquiries you may have.

Additionally, authentic career assistance will be provided to assist you in securing the most suitable employment within the industry.

Highlights 

• A critical program for Power BI individuals to learn how to mash, clean, restructure, and harmonize multiple data sources together
• Cover fundamental concepts of Power BI, such as built-in Extract Transform Load tool, Power Query, foundational data modeling principles, and more
• Learn how to carry Power Bi beyond mere bar charts and transform their reports into data exploration & storytelling tools for better understanding
• Become more effective at the process of retrieving, analyzing, and visualizing data to answer questions and draw conclusions

Duration of Course: 3 months, 5 hours/week

Overall Rating by Students: 4.7 out of 5

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7. Data Visualization by Tableau

The pragmatic curriculum has been specifically developed to cater to professionals seeking to enhance their corporate problem-solving abilities by leveraging improved data insights, visualisations, and analytics.

The course offers the opportunity to enhance one’s ability to effectively display data, comprehend the various elements of data visualisation, recognise the significant business metrics for tactical purposes, visualise and construct predictive forecasts and models, and acquire more knowledge.

This course aims to facilitate an exploration of fundamental data principles and their application in the development of actionable business dashboards for the purpose of reviewing and refining approaches.

Furthermore, participants will get the opportunity to acquire valuable competencies such as data analysis, dashboard design, descriptive statistics, and presentation skills, while also receiving a digital certificate.

Highlights 

• Learn about the fundamentals of data visualization, including the core components and interactive elements
• Improve your knowledge about the fundamentals of data visualization and storytelling to boost your career options
• Gain an understanding of the techniques underpinning predictive data analytics while understanding the ethics behind them
• Add comprehensive skills to your resume like data visualization, communicating data, presentation skills, statistics, Tableau, forecasting & modeling, and more
• Get your hands on the latest concepts in the industry and complete the course by passing the assessments to earn a digital certificate

8. Free Data Visualization Courses (LinkedIn Learning)

LinkedIn has complied a comprehensive compilation of more than 150 training courses and programmes, designed to equip individuals with the necessary skills and knowledge to remain at the forefront of their respective fields.

These offerings are facilitated by industry experts, ensuring a high level of instruction and guidance throughout the learning process. Training programmes are often categorized according to their level of difficulty and the conditions that participants must meet.

Novice individuals have the opportunity to engage in introductory courses that encompass crucial software applications, optimal methodologies, valuable insights, and effective strategies. These courses aim to provide a comprehensive understanding of key concepts, as well as guidelines for selecting appropriate data visualization techniques.

By adhering to established principles and avoiding common pitfalls, beginners can establish a solid foundation before progressing to intermediate and advanced level courses.

Several common choices for experienced learners include utilizing Power Map in Excel to visualize geospatial data, engaging in projects that involve interactive data visualization through processing, and employing infographics as a means of visualizing relationships.

Highlights

• The lectures use real-life based datasets from publically available sources which creates a realistic environment to approach the challenges.
• Guidance is provided to perform all the necessary installations and configurations.
• The lessons are explained in detail which helps the students to learn easily.
• Learn to apply fundamental analytics and present information to non-technical individuals.
• Plenty of assignments to practice the concepts covered in the lectures.
• The content and videos are available for free for the first month after signing up.
• The exercises and videos are available for offline use.

Duration of Course: This course is designed to be completed at the student’s own pace.

Overall Rating by Students: 4.5 out of 5

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9. Free Data Visualization Courses (edX)

If one possesses an inclination towards initiating a profession in the field of data visualisation and analysis, it is advisable to consider exploring this platform. There exist several forms of educational offerings, including professional certificates, micromasters programmes, and individual programmes. Begin by establishing a robust groundwork through the utilisation of programmes such as fundamental statistics for data analysis and its application in the realm of social science. Subsequently, proceed to engage with more sophisticated options such as the cultivation of business and data analysis proficiencies, as well as the development of statistical reasoning abilities, among other pertinent subjects. If one is interested, they may also consider reviewing our compilation of certifications in the field of Data Science.

Highlights

• Apply methods, tools, and software for accessing and managing structured and unstructured data and derive information from them.
• The complete set of lessons are broken into appropriate sections which makes it easy for the students to follow.
• Learn to use the different features and use them appropriately to create the visual representation of data.
• Earn certifications from the leading schools of the world and learn from industry experts and academic professionals.
• Work on practical assignments and projects to enhance your portfolio and implement the topics covered in the videos.

Duration of Course: This course is designed to be completed at the student’s own pace.

Overall Rating by Students: 4.7 out of 5

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10. Free Data Visualization Classes (Skillshare)

If one desires to attain proficiency in a specific talent, acquire the ability to swiftly visualise data, then Skillshare presents itself as a suitable option.

The tutorials are designed to be comprised of numerous succinct lectures, with the intention of facilitating immediate practical application of the acquired knowledge.

The website offers a range of intriguing and useful alternatives, including customising charts for aesthetic appeal and effectiveness, utilising data visualisation techniques to effectively communicate ideas, and providing a coding toolkit for the purpose of visualising data.

Highlights

• Lessons are concise and get straight to the point.
• Perform interactive data visualization using D3.js.
• Work on the class projects with datasets and apply the concepts to real-life scenarios.
• Design a dashboard, create calculated fields, build graphs and lay them on an insightful dashboard.

Duration of Course: This course is designed to be completed at the student’s own pace.

Overall Rating by Students: 4.6 out of 5

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Wrapping up