Data Science, AI, and Advanced Analytics Netherlands

Data Analytics for Education and Learning Analytics Training Course

The modern educational landscape is generating vast quantities of data, yet many institutions struggle to bridge the gap between raw information and actionable pedagogical improvement. Data analytics for education and learning analytics training provides the essential framework for transforming student interactions into strategic insights that drive retention and academic excellence. By leveraging the Experience API (xAPI) and Learning Record Stores (LRS), you can move beyond basic completion rates to understand the nuances of the learner journey.

This course addresses modern workforce pressures such as the integration of AI-driven personalized learning and the necessity for transparent data governance in hybrid environments. Learning Analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts. It enables professionals to optimize learning environments and improve student success rates through evidence-based interventions. Designed for instructional designers, academic administrators, and EdTech specialists, this program focuses on producing tangible outputs like student risk profiles and curriculum impact dashboards. You will transition from reactive reporting to proactive strategy, ensuring your educational initiatives are grounded in measurable data rather than intuition.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Foundation To Intermediate
Level
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Training Options

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Live Online Training

Join from anywhere with interactive virtual sessions

Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,600
Kigali Rwanda
Mon - Fri
5 Days
USD 1,900
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,100
Abuja Nigeria
Mon - Fri
5 Days
USD 2,800
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,100 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 2,800 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 3,900 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,500 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Nakuru, Kenya Mon - Fri (5 Days) USD 3,200 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Kisumu, Kenya Mon - Fri (5 Days) USD 3,200 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

Code Start Date End Date Duration Fee
DLA-54 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
DLA-54 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
DLA-54 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
DLA-54 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
DLA-54 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
DLA-54 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
DLA-54 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →

Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

Team Training

Train your entire team together in a familiar environment for better collaboration

Fully Customized

Content tailored to your industry, tools, and specific business challenges

Cost Effective

Save on travel & accommodation costs when training multiple employees

Flexible Scheduling

Choose dates that work best for your team's availability and projects

How It Works
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2
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3
We Come to You

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About the Course

Organizations today require educational results that are verifiable and reproducible. To achieve this, professionals must master a specific set of capabilities, including data cleaning for educational datasets, applying the CRISP-DM framework to learning contexts, and designing interactive dashboards that track real-time engagement. This course moves beyond theoretical discussion to provide a structured system for educational improvement. You will learn to practice hands-on data visualization using tools like Power BI or Tableau while being introduced to the conceptual foundations of predictive modeling and machine learning in student success initiatives.

What you will learn in this course includes the ability to map learner journeys across multiple platforms, calculate the impact of instructional interventions, and build automated reporting systems for institutional leadership. This course teaches you how to synthesize disparate data points from Learning Management Systems (LMS) and external activities into a unified view of learner progress. We acknowledge the real-world constraints of data silos, varying levels of digital literacy, and the complexities of data privacy regulations. This training is specifically designed for professionals who must deliver high-impact results within these operational realities, providing the tools to build a culture of evidence-based decision-making.


Target Audience

This program is essential for professionals responsible for the design, delivery, and assessment of educational programs in academic and corporate environments.

This course is designed for:

  • Instructional Designers optimizing course content through engagement data
  • Academic Registrars tracking student progression and retention metrics
  • Learning and Development Managers measuring corporate training ROI
  • EdTech Product Managers developing data-driven learning features
  • School Administrators implementing institutional effectiveness frameworks
  • Educational Data Analysts building student performance dashboards
  • Curriculum Developers aligning content with learner achievement data
  • Student Success Coaches identifying at-risk learners for intervention
  • Higher Education Researchers studying learning behavior and outcomes
  • Corporate Trainers evaluating the impact of digital learning initiatives

Course Objectives

This course equips you to design, execute, and report learning analytics initiatives that improve student success, ensure data compliance, and support strategic institutional goals.

By the end of this course, you'll be able to:

  • Assess institutional data readiness using the Learning Analytics Maturity Model
  • Apply xAPI® standards to capture learning experiences outside the LMS
  • Build interactive student engagement dashboards using Power BI or Tableau
  • Calculate the correlation between specific learning activities and assessment outcomes
  • Design a predictive model to identify students at risk of attrition
  • Evaluate curriculum effectiveness using the Kirkpatrick Model of evaluation
  • Navigate data privacy requirements for educational data governance and ethics
  • Synthesize complex learning data into actionable reports for executive leadership

Requirements & Prerequisites

Participants should have a basic understanding of educational delivery or instructional design. Familiarity with spreadsheet software (Microsoft Excel) is required. No prior programming or advanced statistical knowledge is necessary, as the course focuses on operational application and the use of visualization tools.


Local Application and Business Return in Netherlands

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants use learning analytics to track engagement, completion, assessment performance, and drop-off points across courses and programmes. In Dutch education settings, they can build dashboards for lecturers, programme managers, and student-support teams to identify at-risk learners earlier and compare outcomes across cohorts. They can also use xAPI or LMS data to connect activity across virtual classrooms, assessments, and self-directed learning. The practical focus is on turning raw learner data into interventions that improve teaching quality, retention, and student support.

Expected ROI

Within 6–12 months, training typically improves the speed and consistency of reporting, so academic teams spend less time assembling manual spreadsheets and more time acting on findings. Institutions usually gain earlier visibility into disengagement and assessment risk, which can support faster interventions and better retention management. The most visible return is often better-targeted teaching support, clearer programme-level decision-making, and more credible evidence for quality-assurance discussions. If governance is tightened alongside analytics, teams also reduce avoidable data-handling mistakes and duplicated reporting.

Training Methodology

This is a practical, outcome-driven course designed to turn learning analytics aspiration into measurable action and credible reporting.

Methodology includes:

  • Hands-on calculation of learner engagement metrics using real educational datasets
  • Scenario simulation requiring intervention decisions for at-risk student profiles
  • Data audit exercise using a standardized educational data governance checklist
  • Stakeholder mapping exercise for reporting learning outcomes to academic boards
  • Case study analysis from K-12, Higher Education, and Corporate sectors
  • Group workshop producing a functional student success dashboard prototype
  • Reflection exercise benchmarking current institutional practices against ISO/IEC 20741 standards

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 850
27th Jun-19th Jul 2026

Nairobi

Kenya
USD 1,600
29th Jun-3rd Jul 2026

Kigali

Rwanda
USD 1,900
13th Jul-17th Jul 2026

Dubai

United Arab Emirates (UAE)
USD 4,100
29th Jun-3rd Jul 2026

Abuja

Nigeria
USD 2,800
29th Jun-3rd Jul 2026

Zanzibar

Tanzania
USD 2,400
29th Jun-3rd Jul 2026

Addis Ababa

Ethiopia
USD 2,500
20th Jul-24th Jul 2026

Mombasa

Kenya
USD 1,700
13th Jul-17th Jul 2026

Cape Town

South Africa
USD 3,900
6th Jul-10th Jul 2026

Johannesburg

South Africa
USD 3,500
20th Jul-24th Jul 2026

Kampala

Uganda
USD 1,900
29th Jun-3rd Jul 2026

Pretoria

South Africa
USD 3,300
20th Jul-24th Jul 2026

Lagos

Nigeria
USD 2,500
27th Jul-31st Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Data Analytics for Education and Learning Analytics Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Skills Relevance

  • Master cutting-edge data analytics tools applicable in modern educational environments.
  • Transform data into actionable insights for strategic educational improvements.
  • Leverage analytics to craft personalized learning experiences and boost engagement.

Expert Delivery

  • Learn from leading educators and data scientists with real-world experience.
  • Courses curated by experts to maximize your learning in minimal time.
  • Interactive, hands-on sessions ensure you can apply concepts immediately.

Career Advancement

  • Enhance your resume with highly sought-after data analytics competencies.
  • Position yourself as a leader in the merging fields of education and technology.
  • Unlock new career opportunities in educational institutions and ed-tech companies.

Tools and platforms relevant to this field

Examples Netherlands teams may encounter, and that may be featured in training where they support the confirmed course scope.

4

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • Canvas Instructure
    Learning management and engagement tracking across courses, assignments, and learner activity.
  • Power BI Microsoft
    Dashboarding and reporting for student progress, retention, and programme performance metrics.
  • Tableau Salesforce
    Interactive visual analytics for learner dashboards and institutional reporting.
  • Google Analytics Google
    Tracking education-platform traffic and conversion paths for online learning programmes.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Local market advisory

Course relevance for Netherlands

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Regulatory context in Netherlands

The local regulators, laws, and frameworks shaping this discipline, with the curriculum mapped to what teams need to know.

3

Regulators

  • AP The Dutch data protection authority matters because learning analytics uses personal and behavioural student data, which must be handled in line with privacy rules.
  • OCW The education ministry matters because schools, universities, and training providers operate within national education policy and quality-assurance expectations.
  • IvhO The education inspectorate matters because analytics outputs are often used in school improvement, governance, and quality-monitoring processes.

Frameworks the course aligns with

  • 01 Algemene verordening gegevensbescherming · 2016
  • 02 Uitvoeringswet Algemene verordening gegevensbescherming · 2018
  • 03 Wet onderwijs en beroepsonderwijs · 1995

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Who else has attended this training course?

Join global leaders and experts from top-tier organizations who have already benefited from this training. Here are just a few of our past participants:

Designation Organization
MEARL Amref Health Africa in Kenya, Kenya

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Standard reporting usually describes what has already happened, such as enrolment, completion, or grades. Learning analytics goes further by combining behavioural and performance data to show patterns, predict risk, and support earlier intervention.

Yes. The same analytics concepts apply across major learning platforms, because the work focuses on learner activity, assessment results, and engagement patterns rather than one specific system. Participants learn how to interpret exported data and turn it into dashboards and interventions.

No. Many education teams use these methods at an applied level: defining indicators, cleaning data, building dashboards, and using the results in student-support or curriculum meetings. Advanced modelling helps, but practical impact often starts with well-designed reporting and consistent data definitions.

Typical outputs include learner-risk indicators, engagement dashboards, course-completion tracking, and simple cohort comparisons. These outputs help academic and support teams prioritise action rather than relying on intuition alone.

Trusted by 100+ organizations across 40+ countries

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Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University