MASTER VISUALIZING DATA
Johns Hopkins University Certificate of AchievementAccess to all courses in the certificate programStart the program anytime through open enrollmentCurriculum designed and delivered by JHU FacultyLIVE monthly seminars with JHU Faculty
Program starts on February 3, 2025. Investment: $1,200
3 Courses • 12 Weeks • 60 Hours • Online
• Hands-on Projects • $1,200
4 Weeks • Online • Hands-on Projects
4 Weeks • Online • Hands-on Projects
4 Weeks • Online • Hands-on Projects
#1
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#6
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Master the art and science of transforming data into meaningful visual insights with a comprehensive program designed for learners at every stage. From foundational principles to advanced techniques, this program covers a wide range of topics, including design best practices, interactive dashboards, storytelling with data, and industry-specific applications. Whether you’re a beginner or an experienced professional, these courses will equip you with the skills to communicate data effectively and make informed decisions.
Program Highlights:
Earn a Johns Hopkins University Certificate of Achievement and gain the knowledge and tools to excel in applied machine learning.
To earn a Johns Hopkins University School of Engineering Certificate of Achievement, you must complete the following:
The program is designed for learners who want to develop practical skills for creating clear and impactful visual representations of data, as well as crafting compelling narratives from complex datasets.
Professionals in Data-Driven RolesData Scientists and AnalystsData Quality AnalystsTechnology ConsultantsAcademics and ResearchersDesigned by JHU Faculty, the curriculum covers key skills in artificial intelligence and cybersecurity.
Deep Learning Techniques
Convolutional Neural Networks (CNNs)
Regression Analysis
Pattern Recognition
Computer Vision
Unsupervised Learning
Introduction to PyTorch
Reinforcement Learning
Ethical Considerations in ML
Enhance your knowledge through monthly live seminars designed to deepen your expertise.
JHU faculty are available to answer questions directly through the course site.
Learn at your own pace with engaging and helpful learning materials such as video lectures, relevant readings, and case studies.
Hands-on activities that help you demonstrate competence and enabling reskilling and upskilling.
Boost your AI and ML skills with leading educators
Johns Hopkins University Instructor
Dr. Caban is the Chief of Clinical and Research Informatics at the National Intrepid Center of Excellence (NICoE) at Walter Reed National Military Medical Center (WRNMMC). He leads a team supporting enterprise applications, machine learning, and analytics across 10+ military treatment facilities.
With over 13 years of experience in clinical and informatics research, he has authored 50+ scientific papers on informatics, AI, and predictive models. He has chaired committees such as the DHA Enterprise Intelligence IPT and the AMIA Visual Analytics group and served as Vice Chair of the 2016 IEEE Visualization conference.
Dr. Caban has received awards including the 2018 DHA Innovation Award and the AMSUS HealthIT Award. As adjunct faculty at USUHS and Johns Hopkins University, he mentors and teaches the next generation in informatics and data science.
Gain advanced machine learning skills and practical expertise to drive innovation, solve complex challenges, and stay competitive in today’s rapidly evolving tech landscape.
12 Weeks • Online • Hands-on Projects
12 Weeks • Online • Hands-on Projects
12 Weeks • Online • Hands-on Projects
3 Courses • 12 Weeks • 60 Hours • Online
• Hands-on Projects
Submit your details below to learn more about the course curriculum, benefits, fee and more.
Submit your details below to learn more about the course curriculum, benefits, fee and more.
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