Design Thinking
Subjects
Out of 9 total / 0 openings
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CLOSED
Data Visualization Methods and Practice
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COMING SOON
STEAM-Innovation (TBD)
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COMING SOON
STEAM-Thinking (TBD)
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COMING SOON
STEAM-PBL (TBD)
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COMING SOON
Creativity for STEAM (TBD)
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COMING SOON
Design Thinking (TBD)
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COMING SOON
Design Innovation (TBD)
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COMING SOON
Scenario Writing (TBD)
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COMING SOON
User Observation (TBD)
To enroll in this course, you must be a member of an eligible institution and have permission from your institution to take the course.
How to take a course.
STEP 01
Check each course's introduction page to see if your institution is eligible (JIGE overseas partner university, etc.).
STEP 02
Obtain an application code for MCP courses from the contact person at each university, etc.
STEP 03
Click the "Application" on each course introduction page to open the application form and fill in the necessary information.
STEP 04
The contact person at each university will coordinate the registrants and contact those who have received final approval to participate.
STEP 05
Those who have received permission emails will receive notification of how to log in and participate in the MCP course of their choice approximately one week prior to the start of each course.
STEP 06
A certificate of completion (micro-credential) will be issued upon completion of the course.
STEP 07
Stock and post micro-credentials or electronic proof of completion on your own account on JV-campus (can also be posted on other social networking and other platforms).

CLOSED
2025
FEB02 - MAR03
Data Visualization Methods and Practice
"Data Visualization Methods and Practice" is an in-depth course designed for students, professionals, and enthusiasts who are interested in transforming complex data into impactful visual narratives. This course covers fundamental principles of data visualization, advanced techniques using modern tools and software, and the practical application of these methods to real-world data sets. Participants will learn how to design effective charts, graphs, and interactive elements, ensuring their visualizations are both informative and engaging. The course includes hands-on projects, peer reviews, and critiques, providing learners with the skills needed to become proficient in data visualization.