Professional and Training

Professional Certificate in Learning Analytics and Educational Data Interpretation

Data collection mechanics, predictive tracking, and ethical governance frameworks.

Collect, analyse, and interpret learning management system data to improve student retention and build ethical governance frameworks.

Self-paced£490
Virtual£990
In-person£1,990
Regionalised Pricing Available
Awarded by
<em>Professional Certificate</em> in Learning Analytics and Educational Data Interpretation
About this course

Why This Course

This course offers a grounded introduction to the principles and applications of learning analytics within educational environments. Participants examine how data extracted from learning management systems can be systematically gathered, cleaned, and interpreted to understand student engagement.

The curriculum covers practical data analysis techniques, blending descriptive and inferential statistics to track learner progression and performance patterns. Ambitious educators will learn to translate metrics into clear insights to support institutional retention strategy and instructional planning.

Crucially, the course addresses the ethical responsibilities associated with educational data monitoring. Participants will learn to construct robust data governance frameworks that prioritise student privacy, mitigate algorithmic bias, and ensure total compliance with data protection standards.

Inside the programme

Your Learning Journey

By the conclusion of this programme, you will be able to:

  • Explain the core principles, scope, and evolution of learning analytics.

  • Utilise learning management systems to collect and prepare educational data.

  • Apply descriptive and inferential statistics to interpret student performance trends.

  • Construct data visualisations and dashboards to track learner retention metrics.

  • Formulate actionable, data-verified recommendations to improve institutional outcomes.

  • Design robust data governance frameworks to mitigate bias and privacy risks.

Accreditation

Programme Accreditations and Recognitions

Association to Advance Collegiate Schools of Business

LIBT is a member of the prestigious Association to Advance Collegiate Schools of Business (AACSB)

Quality Assurance Agency for Higher Education (QAA)

LIBT is a full member of the ⁠Quality Assurance Agency for Higher Education (QAA).

From our community

Reviews from students across programmes we offer.

Hear from the professionals who studied with LIBT, the skills they gained, the goals they reached, and the moments that changed how they work.

FAQ

Frequently Asked Questions

Do I need advanced mathematical skills to complete this course?
No. The curriculum is designed for educators and administrators, not programmers. While you will learn to apply descriptive and inferential statistics like regression analysis, the focus remains on interpreting these metrics to make informed decisions rather than conducting manual coding or advanced mathematical calculations.
Can I use my own school's data during the workshops?
For corporate or institutional cohorts, the practical tasks can be fully customised to utilise your internal, anonymised datasets. For individual learners, we provide comprehensive, pre-verified mock data to practice data cleaning and preprocessing techniques safely without risking real-world confidentiality breaches.
How does this certification help my progression into educational leadership?
Modern institutions rely heavily on evidence-based management. This course provides the data literacy needed to track retention, evaluate teaching efficacy, and draft compliant data governance policies, positioning you to lead strategic, data-informed operations as a senior education executive.
Take the next step

Ready to lead at the next level?

Submit your application at your convenience. Our admissions team remains available should you wish to discuss the programme in more detail beforehand.