Executive Development Programme in Agri-Business Data Management
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• Data Management Fundamentals: Understanding the basics of data management, including data collection, cleaning, validation, and storage.
• Data Analysis Tools: Overview of popular data analysis tools and techniques, with a focus on those relevant to agri-business.
• Data Visualization: Techniques for presenting data in a visual format to aid in decision making.
• Agricultural Data Ecosystem: Exploration of the unique data ecosystem within the agricultural industry, including data sources, formats, and standards.
• Precision Agriculture and IoT: Examination of how Internet of Things (IoT) technology is being used in precision agriculture to collect and analyze data.
• Data Privacy and Security: Best practices for protecting sensitive data and maintaining privacy in the agricultural industry.
• Data-Driven Decision Making: Strategies for using data to inform business decisions and improve operational efficiency.
• Machine Learning and AI: Overview of machine learning and artificial intelligence, including how these technologies are being used in agri-business data management.
• Data Governance: Implementing effective data governance policies to ensure data quality and security.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ComplementaryFormalQualifications
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- ThreeFourHoursPerWeek
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