Professional Certificate in Charging Infrastructure: Accessibility & Data Analysis
-- ViewingNowThe Professional Certificate in Charging Infrastructure: Accessibility & Data Analysis is a comprehensive course designed to meet the growing industry demand for experts in electric vehicle (EV) charging infrastructure. This course highlights the importance of accessible EV charging stations and delves into data analysis techniques to optimize charging infrastructure rollout.
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โข Introduction to Charging Infrastructure: Understanding the basics of charging infrastructure, including charging station types, electric vehicle (EV) compatibility, and key players in the industry.
โข Site Selection and Planning: Identifying optimal locations for charging stations, considering factors such as accessibility, proximity to high-traffic areas, and power availability.
โข Charging Infrastructure Standards: Familiarizing with industry standards for charging infrastructure, including SAE J1772, IEC 62196, and Open Charge Point Protocol (OCPP).
โข Data Analysis for Charging Infrastructure: Collecting and analyzing data from charging stations to optimize performance, improve user experience, and identify potential issues.
โข Grid Impact and Energy Management: Understanding the impact of charging infrastructure on the power grid, and implementing strategies for efficient energy management.
โข Policy and Regulations: Reviewing local, regional, and national policies and regulations affecting charging infrastructure deployment and operation.
โข Cybersecurity for Charging Infrastructure: Implementing security measures to protect charging stations and user data from cyber threats.
โข Maintenance and Troubleshooting: Performing routine maintenance tasks, identifying potential issues, and implementing solutions to ensure optimal charging station performance.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- NotAccreditedRecognized
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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