CCNA

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Certified Networks

Business Data Analytics

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This course focuses on teaching students the skills and techniques required to analyze and interpret large sets of data in a business context. The course typically covers a range of topics related to data analysis, including statistical analysis, data mining, data visualization, predictive modeling, and data-driven decision-making. Some of the tools, software/ languages that you will interact with during this course are: Excel, SQL, Tableau, Google Data Studio, Python

Monitoring and Evaluation

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This course equips participants with competencies in monitoring and evaluation of development interventions at the project, programme and organizational level.

Personnel Management

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This Module is meant to provide you with the required skills that enable you to maintain employee-related records and information in an electronic form

Sage 300 People Job Profile Management

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This course will provide you with the skills to setup and manage the Job profile module. Here you will learn how to define Employee Titles, positions, grades with the view of managing employee performance.

Performance Management

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Recommended for advanced users of Sage 300 People. This course is recommended for all Sage 300 People users who have successfully completed the Basic Part 1 course. The Sage 300 People Payroll Basic Part 2 training ensures the optimal use of the Sage 300 People system by focusing on structures to comprehend and fully sustain an effective payroll system.

Sage 300 People Basic Part 1

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This course is recommended for all new Sage 300 People users. It ensures the software journey with People Payroll starts correctly with an all-inclusive overview by instructor of the payroll system.

Disaster Risk Management Course

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Disaster Risk Reduction (DRR) is the concept and practice of reducing disaster risks through systematic efforts to analyze and reduce the causal factors of disasters. Reducing exposure to haz

Proposal Preparation Using the Logical Framework Approach Course

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This course is designed to introduce the logical framework approach (LFA) as a means to design project proposals for funding assistance.