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Available courses

R (I): Core Analyst (Foundations of Data Analysis)

Path A — Core Analyst (general data skills)

  1. R-0: Onboarding & Computing Basics
    Installing R & RStudio (desktop or server), using projects, scripts, packages; command line essentials; file paths; version control basics (Git, optional).

  2. R-1: R Foundations
    Syntax, objects, vectors, data frames, functions, control flow; reading CSV/Excel; basic data cleaning.

  3. R-2: Data Wrangling with tidyverse
    dplyr, tidyr, joins, reshaping, data quality checks; reproducible pipelines.

  4. R-3: Visualization
    Base R then ggplot2: grammar of graphics, facets, annotations; exporting figures for reports.

  5. R-4: Statistics for Engineering & OSH
    Descriptives, distributions, estimation, hypothesis tests, ANOVA, correlation; power & sample size.

R (II): Modelling and Analytics (Intermediate Data Modelling)

Path B — Modelling & Analytics
R-5: Modelling I (Regression & GLM)
Linear/Logistic regression, diagnostics, multicollinearity, model selection; cross-validation.
R-6: Modelling II (Time Series & Forecasting)
Decomposition, ARIMA/ETS, seasonality, simple anomaly detection for safety metrics.
R-7: Multivariate & Measurement
PCA, EFA/CFA (overview), reliability (α/ω); intro to SEM paradigms (covariance vs PLS).

R (III): Research, Reporting, and Specialized Topics

Path C — Research, Reporting, and Specialized Topics
R-8: Reproducible Reporting with Quarto
Parameterized reports, citations, tables, figure management; PDF/Word/HTML outputs for audit evidence.
R-9: Survey Data & Psychometrics
Cleaning Likert data, reverse-coding, reliability, factor structures, scoring.
R-10: SEM-PLS with R (aligned to your preference)
Workflow using seminr (primary), overview of plspm; model specification, assessment (reliability, validity, HTMT), bootstrapping, reporting.
R-11: Capstone (OSH/Industrial Case)
End-to-end: define problem → collect/clean data → analyze/model → Quarto report → presentation.

Regulatory Intelligence and Knowledge Management for Professionals

Short course on how professionals track, organize, and act upon regulatory and standards updates. Aligns deeply with the modern needs of compliance-driven professions.

Document Control (I): Foundations

Modules:

  1. The Role and Responsibility of a Document Controller

  2. Anatomy of a File (naming, metadata, properties, extensions, hash integrity)

  3. Folder Hierarchies and File-Path Logic

  4. File Naming & Nomenclature Systems (ISO-style numbering, prefix logic, versioning)

  5. Document Lifecycle: Draft → Review → Approval → Archive

  6. Handling Chaos: Strategies for Re-cataloguing Unstructured Files

  7. Hands-on: Designing a Folder Structure and Naming Template for a Department

Deliverable:
Learner submits a proposed “Document Control Manual” and a test folder system.

Document Control (II): Systems and Tools

Modules:

  1. File Synchronization and Backup with FreeFileSync

  2. Version Control for Non-Developers (Git + Git GUI)

  3. Tagging and Indexing with Recoll, DocFetcher, and TMSU

  4. Collaborative Document Systems (Nextcloud, OnlyOffice, Collabora)

  5. Automating File Operations using RoboCopy / rsync / rclone

  6. Metadata Harvesting and Central Catalogs using LibreOffice Base

  7. Case Simulation: Rebuilding a 1-TB Shared Drive into a Controlled Repository

Deliverable:
A fully working prototype of a controlled shared repository using at least two open-source tools.

Document Control (III): Data-Driven Environment

Modules:

  1. Linking Document Control with Databases (LibreOffice Base, SQLite)

  2. Creating File Reference Tables (ID, revision, status, reviewer, location)

  3. Document Workflow Tracking (check-in/out, approval, audit logs)

  4. Integration Concepts: Document Management vs. Content Management

  5. Open-Source DMS Solutions (Alfresco Community, SeedDMS, Mayan EDMS, Nextcloud Hub)

  6. Backups, Disaster Recovery, and Data Integrity Verification

  7. Designing Institutional Document Control Policy (ISO 9001, ISO 21001 compliance)

Deliverable:
Design of a Document Management System blueprint for an organization (complete with process map and data dictionary).

Project Management (III): Advanced Project Strategies and Systems

Core Topics:

  • Agile, Scrum, and hybrid project methodologies

  • Lean project management and continuous improvement

  • Risk modeling and decision-making tools

  • Project Portfolio Management (PPM) and PMO setup

  • Integrated Management Systems (linking with ISO 9001, 45001, 14001)

  • Communication systems, stakeholder engagement at scale

  • AI and data-driven project management

  • Capstone: Develop a comprehensive project governance framework

Deliverable: A full-scale Project Charter + PMO design or strategic plan.

Project Management (II): Execution and Control

Core Topics:

  • Project scheduling and resource allocation

  • Cost estimation, budgeting, and Earned Value Management (EVM)

  • Monitoring and reporting progress (KPIs, dashboards)

  • Risk and issue management in execution phase

  • Change control, scope creep prevention, escalation protocols

  • Procurement and contract management

  • Tools: OpenProject, GanttProject, Redmine, ProjectLibre (all open-source)

  • Simulation: Manage a mid-sized project with monitoring reports

Deliverable: Progress dashboard + control report on a simulated project.

Project Management (I): Foundations

Core Topics:

  • Project definition, lifecycle, and organizational context

  • Roles, responsibilities, and stakeholder management

  • Scope, objectives, deliverables, and Work Breakdown Structure (WBS)

  • Basic planning tools (Gantt, milestones, dependencies)

  • Introduction to risk, quality, and communication plans

  • Project documentation and control systems

  • Mini-project simulation: Plan a small-scale engineering project

Deliverable: A complete Project Plan (scope, schedule, WBS, risk register).

Research Methodology (III): Scientific Writing & Publication

Research Methodology for advanced learners (final-year students, postgraduates, or lecturers preparing papers).

Deliverable: A near-publishable manuscript or complete final research report.

Research Methodology (II): Research Design & Data Analysis

Research Methodology for intermediate learners (students preparing for thesis, applied researchers, or staff developing studies).

Expected Deliverable: A complete Research Design Document with instrument draft and proposed analysis plan.

Research Methodology (I): Research Foundations

Research Methodology for beginners in research (students, junior researchers, or professionals without formal research training).

Deliverable: A short research proposal (problem statement, objectives, framework, and preliminary references).