Educational Data Analytics and Learner Insights Training

Which training organizations offer leadership courses in Nairobi?

EduCore Global Skills offers Leadership and Management courses in Nairobi, Kenya, including short instructor-led programmes for professionals and organizations. Relevant courses in this category link to dates, fees, modules, and registration details.

Where can I take 5-day training Leadership, People, and Organizational Management training in Nairobi, Kenya?

EduCore Global Skills offers Educational Data Analytics and Learner Insights Training for Managers and related professionals. The course page shows current 5 Days, available locations such as Nairobi, Kenya, virtual classroom, and in-house delivery by arrangement, fees where published, upcoming dates, and registration details.

Where can I take Educational Data Analytics and Learner Insights Training training?

EduCore Global Skills offers Educational Data Analytics and Learner Insights Training training in Nairobi, Kenya, virtual classroom, and in-house delivery by arrangement, with virtual live online, physical classroom, and customized in-house corporate delivery where available.

How long is Educational Data Analytics and Learner Insights Training?

Educational Data Analytics and Learner Insights Training is listed as 5 Days. The course page shows the current duration, available dates, delivery format, and registration options.

Who is Educational Data Analytics and Learner Insights Training for?

Educational Data Analytics and Learner Insights Training is designed for Managers, Supervisors, Team Leaders, Executives, Department Heads, Project Leads and organizations that need practical capability in Leadership, People, and Organizational Management.

Module 1: Foundations of Educational Data Analytics

Core competencies for Foundations of Educational Data Analytics.

• What educational analytics is and why it matters
• Learning analytics vs. academic analytics vs. educational data mining
• Types of analytics: descriptive, diagnostic, predictive, and prescriptive
• Key stakeholders and their data needs (learners, teachers, leaders, funders)
• The analytics cycle: question, data, analysis, insight, action

Module 2: Educational Data Sources and Ecosystems

Core competencies for Educational Data Sources and Ecosystems.

• Learner data: enrolment, attendance, demographics, and progression
• Assessment data: exams, quizzes, continuous assessment, and rubrics
• LMS and digital footprint data (logins, clicks, time on task)
• Survey, feedback, and qualitative data
• Integrating data across SIS, LMS, HRIS, and other systems

Module 3: Ethics, Privacy, and Data Governance

Core competencies for Ethics, Privacy, and Data Governance.

• Ethical principles: consent, transparency, fairness, and purpose limitation
• Data protection compliance (GDPR, Kenya's Data Protection Act, children's data)
• Data ownership, access rights, and stewardship roles
• Bias, equity, and avoiding harm to vulnerable learners
• Data governance policies and responsible use frameworks

Module 4: Data Collection, Quality, and Preparation

Core competencies for Data Collection, Quality, and Preparation.

• Designing data collection plans and indicators
• Data quality dimensions: accuracy, completeness, consistency, timeliness
• Cleaning, deduplicating, and handling missing data
• Transforming, coding, and structuring datasets
• Documentation, data dictionaries, and metadata

Module 5: Descriptive Statistics and Data Exploration

Core competencies for Descriptive Statistics and Data Exploration.

• Measures of central tendency and spread
• Distributions, outliers, and interpreting assessment scores
• Cross-tabulation and comparing groups (gender, region, cohort)
• Trend analysis over time
• Common statistical pitfalls and misleading averages

Module 6: Tools for Analysis and Visualization

Core competencies for Tools for Analysis and Visualization.

• Spreadsheets for educational data (Excel, Google Sheets)
• Dashboards with Power BI, Tableau, and Looker Studio
• Introduction to R, Python, and SPSS for education research
• Principles of effective data visualization
• Building dashboards for teachers and school leaders

Module 7: Learning Analytics and Learner Behavior

Core competencies for Learning Analytics and Learner Behavior.

• Measuring engagement, participation, and completion
• Analyzing learning pathways and content effectiveness
• Item analysis and assessment quality (difficulty, discrimination)
• Identifying learning gaps and mastery by competency
• Social network and discussion analytics

Module 8: Predictive Analytics and Early Warning Systems

Core competencies for Predictive Analytics and Early Warning Systems.

• Predicting dropout, failure, and disengagement risk
• Building early alert indicators and thresholds
• Basic predictive models: regression, classification, and clustering
• Validating models and avoiding false positives and labeling harm
• Designing timely interventions and support workflows

Module 9: Turning Insights into Action and Impact

Core competencies for Turning Insights into Action and Impact.

• Data storytelling and presenting to non-technical audiences
• Data-informed teaching, curriculum, and program design
• Evidence-based decision-making and policy influence
• Evaluating interventions and measuring impact (Kirkpatrick, A/B comparisons)
• Building a data-driven culture and improving data literacy

Module 10: Advanced Topics, AI, and Future Trends

Core competencies for Advanced Topics, AI, and Future Trends.

• AI and machine learning in education: personalization and adaptive learning
• Generative AI for analysis, reporting, and feedback
• Multimodal and real-time analytics
• Limitations, explainability, and human oversight of AI systems
• Building an analytics roadmap and capstone project

How is Educational Data Analytics and Learner Insights Training delivered?

Educational Data Analytics and Learner Insights Training is delivered through instructor-led classroom, live online, private in-house corporate training depending on the selected cohort or organizational arrangement.

What are the fees for Educational Data Analytics and Learner Insights Training?

The published course investment is KES 80,000. Location-specific fees are shown where configured.

How long is Educational Data Analytics and Learner Insights Training?

Educational Data Analytics and Learner Insights Training runs for 5 Days unless a customized corporate schedule is agreed.

Do participants receive a certificate for Educational Data Analytics and Learner Insights Training?

Participants who complete the course receive a Certificate of Completion from EduCore Global Skills.

Where can I take Educational Data Analytics and Learner Insights Training?

Educational Data Analytics and Learner Insights Training is available in Nairobi, live online, and in-house corporate delivery by arrangement. Current dates are shown only where real sessions have been configured.

Who should attend Educational Data Analytics and Learner Insights Training?

Educational Data Analytics and Learner Insights Training is designed for Managers, Supervisors, Team Leaders, Executives, Department Heads, Project Leads and organizations that need practical capability in Leadership, People, and Organizational Management.

What are the prerequisites for Educational Data Analytics and Learner Insights Training?

No mandatory prerequisite is required unless stated in the course outline. Practical workplace experience in the subject area is helpful.