Mode of Learning – Online
Learning Duration: 8 Weeks (120 Hrs)
Application: Ongoing
Payment Details: To cover tuition and training materials only.
FEE STRUCTURE
Application Fee– Kes 1000
Tuition and Training Fees– Kes 15,800
COURSE OVERVIEW
This course seeks to equip educators with skills to harness data for improved learner outcomes and institutional effectiveness. Participants learn to identify trends, track progress, and communicate insights, fostering data-driven decision-making to personalize learning, identify at-risk learners, and optimize resource utilization.
WHO SHOULD ATTEND?
Educators and Education Planners.
HOW PARTICIPANTS WILL BENEFIT
By the end of the course, participants should be able to:
- Explain the role and importance of data analytics in improving educational outcomes and institutional effectiveness
- Collect, organize, and clean educational data from various sources for analysis
- Apply basic statistical methods and tools to identify trends and patterns in learner performance data
- Use data visualization techniques to present educational data clearly and effectively to diverse stakeholders
- Interpret assessment and performance data to track learner progress and identify at-risk learners
- Develop data-driven strategies to personalize instruction and support individual learner needs
- Utilize predictive analytics to forecast learner outcomes and inform early intervention efforts
- Evaluate the effectiveness of institutional programs and resource allocation using data analytics
- Communicate insights from data analysis in reports and presentations tailored for educators, administrators, and policymakers
- Foster a culture of data-informed decision-making within educational institutions to enhance continuous improvement.
.