Overview
Johns Hopkins Engineering's Data Visualization online certificate program is designed for learners at all levels. The curriculum covers foundational principles and advanced techniques, including design best practices, interactive dashboards, storytelling with data, and industry-specific applications. Participants gain hands-on experience through practical projects in each course, guided by Johns Hopkins University faculty and industry professionals. The flexible online format accommodates busy professionals, allowing them to learn at their own pace.
Key Facts
Graduates will acquire skills in creating compelling visual narratives, designing interactive dashboards, and applying visualization techniques across various industries. This program equips participants with the knowledge and tools necessary to excel in data visualization and make informed decisions based on visual insights.
Upon completion of all courses and a capstone project, participants will receive a Johns Hopkins University Certificate of Achievement.
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Foundations of Data Visualization
- Advanced Techniques in Data Visualization
- Specialized Data Visualization Approaches
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
- 5 hrs/week
Start dates & application deadlines
Start anytime. Learn at your own pace.
Language
Credits
Continuing Education Units (CEUs) are standardized credits awarded for Executive and Professional Education. They do not count toward degree programs but demonstrate skill enhancement and career advancement. One CEU typically equals 10 hours of coursework, and many employers and licensing boards recognize CEUs for certifications, training requirements, or professional growth.
Delivered
- Self-paced
- Continuous support with feedback on request
- Individual work/assignments (with online group discussions)
Campus Location
- Baltimore, United States
- Bologna, Italy
- Nanjing, China
Disciplines
Business Information Systems Information Systems Data Analytics View 179 other Short Courses in Data Analytics in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- You should be comfortable reading basic charts, understanding data types (like categorical and quantitative), and thinking critically about how visuals communicate. You don’t need to be a Python expert—but some familiarity helps.
- Projects use tools like Jupyter Notebooks, Plotly, and networkx, with sample code and detailed walkthroughs provided. If you’ve worked through the first course or have experience exploring datasets in Python (even with help), you’ll be well-prepared. All projects can be completed using free, browser-based tools like Google Colab, Kaggle, or Binder—no installations required.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents1200 USD / full≈ 1200 USD / full - Out-of-State1200 USD / full≈ 1200 USD / full
-
Domestic
Applies to youIn-State1200 USD / full≈ 1200 USD / full
Additional Details
This certificate program is an investment of 1200 USD, or purchase courses separately at 500 USD each.