What is the Certified Agricultural Data Scientist?

The Certified Agricultural Data Scientist is a globally recognised professional certification by the Global Leadership Institute (GLI), designed to equip professionals with advanced competencies in Agriculture & Agribusiness.

How long does this certification take?

The programme is 20 Week and can be completed at your own pace through our self-paced online option, or alongside live virtual sessions.

Is this certification globally recognised?

Yes. GLI certifications are internationally recognised and carry CPD credits, making them valuable for career advancement worldwide.

What level is this certification?

This is a Intermediate Level certification, suitable for professionals with relevant experience or background in the field.

You can enrol by emailing info@certifications.ac, contacting us via WhatsApp at +254 722 223 084, or filling the enrolment form below.

Certified Agricultural Data Scientist in Guinea

Executive Summary

Certified Agricultural Data Scientist

Designed for today’s high-impact professionals, the Certified Agricultural Data Scientist (CADS) delivers a rigorous Intermediate-level curriculum that equips participants with the knowledge, tools and frameworks needed to excel in crop and livestock production, agribusiness management and sustainable farming systems.

This 20 Week programme is structured around FAO Good Agricultural Practices, GlobalG.A.P. and recognised agricultural and extension standards, ensuring every graduate applies internationally validated methods to real-world challenges.

GLI’s CADS holders are recognised by leading organisations across Africa, the Gulf, Europe and the Americas as qualified, results-driven professionals. Whether you are advancing your current career or transitioning into new responsibilities, this certification provides the competitive edge you need in 2026 and beyond.

Programme Overview

Certification at a Glance

Certification

Certified Agricultural Data Scientist

Acronym

CADS

Who Should Enrol?

Agronomists and Farm Managers
Agricultural Extension and Advisory Officers
Agribusiness and Value-Chain Professionals
Cooperative and Rural Development Practitioners

Programme Inclusions

Everything Included in Your Enrolment

All study materials and study guide
Access to GLI online learning portal
Online examination and assessment
Digital certificate and digital badge
Physical certificate (shipped to you)
CPD credits for professional bodies
GLI alumni network membership
Facilitator and tutor support
Resource downloads and reference library
Automatic enrolment confirmation

Certification Benefits

Why This Certification Matters for Your Career

Career Advancement

Accelerate your career towards senior agronomy, farm management and agribusiness leadership roles

Professional Recognition

Credential aligned with FAO Good Agricultural Practices, GlobalG.A.P. and recognised agricultural and extension standards

Leadership Capability

Develop the strategic and operational skills to lead complex crop and livestock production functions

Organisational Impact

Design and implement crop and livestock production systems that drive performance and measurable results

Compliance Readiness

Master the standards, compliance and ethical governance central to crop and livestock production

Global Employability

Qualify for crop and livestock production roles across agribusinesses, cooperatives, NGOs, research institutions and government agencies worldwide

Competency Framework

Core Competencies You Will Develop

✦Crop and Soil Science, Agronomy and Land Management

✦Livestock, Animal Husbandry and Veterinary Fundamentals

✦Farm Business Management, Value Chains and Markets

✦Sustainable, Climate-Smart and Regenerative Agriculture

✦Agricultural Extension, Advisory Services and Rural Development

✦Professional Ethics and Governance

Course Curriculum

Programme Modules

Click any module to explore the detailed curriculum topics included in this certification.

Foundations and Professional Context of Certified Agricultural Data Scientist

Certified Agricultural Data Scientist: industry context, trends and professional standards
The agricultural sector: systems, actors and global food value chains
Professional roles, ethics and standards for agricultural practitioners
Agroecological zones, farming systems and enterprise selection
Policy, institutions and the enabling environment for agriculture
Smallholder, commercial and cooperative production models

Soil Science, Fertility and Land Management

Certified Agricultural Data Scientist: industry context, trends and professional standards
Soil formation, classification and physical properties
Soil chemistry, pH and cation exchange capacity
Soil biology, organic matter and the soil microbiome
Soil testing, interpretation and fertility mapping
Nutrient management planning and the 4R framework

Precision Agriculture and Farm Data

Certified Agricultural Data Scientist: industry context, trends and professional standards
Precision agriculture and site-specific management
Farm data collection and management
GPS, GIS and spatial analysis
Remote sensing and satellite imagery
Drones and aerial crop monitoring

Digital Advisory and Agri-Tech Platforms

Certified Agricultural Data Scientist: industry context, trends and professional standards
Digital extension and e-advisory
Mobile services for farmers
Market and price information systems
Digital finance and insurance for farmers
Traceability and blockchain in agriculture

Analytics, Monitoring and Impact

Certified Agricultural Data Scientist: industry context, trends and professional standards
Agricultural data analytics
Yield and productivity modelling
Monitoring and evaluation with data
Impact assessment and evidence
Dashboards and visualisation

Irrigation, Water and Farm Mechanisation

Certified Agricultural Data Scientist: industry context, trends and professional standards
Water resources, catchment and on-farm water management
Irrigation systems: surface, sprinkler and drip design
Irrigation scheduling and water-use efficiency
Water harvesting, storage and conveyance
Farm power, machinery selection and utilisation

Digital Agriculture and Precision Farming

Certified Agricultural Data Scientist: industry context, trends and professional standards
Precision agriculture principles and site-specific management
Remote sensing, satellite imagery and GIS in agriculture
Drones and aerial imaging for crop monitoring
IoT sensors, soil and weather stations
Farm management information systems and data platforms

Sustainable and Climate-Smart Agriculture

Certified Agricultural Data Scientist: industry context, trends and professional standards
Climate-smart agriculture: productivity, adaptation, mitigation
Regenerative and conservation agriculture practices
Agroforestry and integrated farming systems
Carbon, greenhouse gases and soil carbon sequestration
Biodiversity, pollinators and ecosystem services

Food Safety, Quality and Standards

Certified Agricultural Data Scientist: industry context, trends and professional standards
Food safety hazards: biological, chemical and physical
Good Agricultural and Handling Practices along the chain
HACCP principles and prerequisite programmes
Traceability, recall and quality assurance systems
Grades, standards and export certification (GlobalG.A.P.)

Agricultural Extension and Rural Development

Certified Agricultural Data Scientist: industry context, trends and professional standards
Extension approaches, models and methods
Adult learning and farmer field schools
Participatory rural appraisal and needs assessment
Demonstration, on-farm trials and technology transfer
Group dynamics, facilitation and community mobilisation

Stakeholder Engagement and Professional Communication

Certified Agricultural Data Scientist: industry context, trends and professional standards
Stakeholder mapping across the agricultural ecosystem
Engaging farmers, agribusiness, government and donors
Professional writing: reports, proposals and briefs
Facilitation, training and public presentation skills
Negotiation with buyers, suppliers and financiers

Leadership, Innovation and Agribusiness Growth

Certified Agricultural Data Scientist: industry context, trends and professional standards
Leading agricultural teams, projects and enterprises
Innovation and entrepreneurship in agribusiness
Scaling technologies and business models
Access to finance, grants and investment
Change management in farming systems

Professional Ethics, Standards and Governance

Certified Agricultural Data Scientist: industry context, trends and professional standards
Professional ethics and codes of conduct in agriculture
Responsible use of agrochemicals and inputs
Environmental stewardship and duty of care
Land rights, tenure and equitable resource use
Animal welfare and ethical production

Monitoring, Evaluation and Continuous Improvement

Certified Agricultural Data Scientist: industry context, trends and professional standards
Setting objectives, indicators and targets
Baseline surveys and data collection tools
Yield, productivity and profitability metrics
Monitoring and evaluation frameworks and logframes
Impact assessment and outcome measurement

Advanced Professional Practice: Consulting and Advisory Excellence

Certified Agricultural Data Scientist: industry context, trends and professional standards
The consulting mindset and trusted advisor positioning
Diagnosing client problems before prescribing solutions
Structuring engagements: scope, deliverables and expectations
Discovery interviews and evidence gathering
Root cause analysis frameworks in advisory work

Data, AI and Digital Tools for the Modern Professional

Certified Agricultural Data Scientist: industry context, trends and professional standards
Data literacy: reading, questioning and using data
Descriptive statistics for everyday professional decisions
Data visualisation and dashboards that inform
Generative AI as a professional productivity tool
Automation, workflows and no-code tools

Professional Communication, Influence and Negotiation

Certified Agricultural Data Scientist: industry context, trends and professional standards
Managing pressure and difficult conversations
Managing supplier communications
Negotiation with clients and partners
Sponsorship and negotiation selling
Negotiation with vendors

Leadership, People and High-Performance Teams

Certified Agricultural Data Scientist: industry context, trends and professional standards
Trend analysis and leading indicators
Coaching for performance
Leading through peak and change
Leadership versus management and when each is needed
Sales enablement and coaching

Talent, Culture and the Modern Workplace

Certified Agricultural Data Scientist: industry context, trends and professional standards
Evaluating wellbeing outcomes
HR's role in culture, values and employer brand
Wellbeing at work and in life
DevOps culture and practices
Applicant tracking systems and recruitment analytics

Customer, Market and Stakeholder Value

Certified Agricultural Data Scientist: industry context, trends and professional standards
Customer lifetime value
Data protection and customer privacy
Customer experience strategy
Social media customer care
Strategic customer relationships

Financial and Commercial Acumen for Professionals

Certified Agricultural Data Scientist: industry context, trends and professional standards
Cost recovery and tariffs
Pricing strategy
Board and executive financial reporting
Loan structuring, pricing and covenants
Legal, cost and feasibility analysis

Evidence, Measurement and Decision Quality

Certified Agricultural Data Scientist: industry context, trends and professional standards
Productivity and effectiveness measurement
Cybersecurity and data protection in HR
Big data technologies and platforms
HSE KPIs and performance indicators
NoSQL and modern data stores

Strategy, Innovation and Leading Change

Certified Agricultural Data Scientist: industry context, trends and professional standards
Digital leadership and business transformation
HSE as a strategic enabler
Strategic alignment of investments
IT strategy and business alignment
Patching and change management

Project and Programme Delivery Essentials

Certified Agricultural Data Scientist: industry context, trends and professional standards
Project governance and risk
Value and savings programmes
Designing an intervention or programme
Leading project teams
Security programme design and budgeting

Quality, Process Excellence and Continuous Improvement

Certified Agricultural Data Scientist: industry context, trends and professional standards
Continuous improvement and lean finance
Process improvement and automation
Cost, quality and cycle-time metrics
Data governance and quality
Quality assurance of audit

Governance, Risk, Ethics and Compliance

Certified Agricultural Data Scientist: industry context, trends and professional standards
Ethical principles and codes of practice
Communicating risk to the workforce
Asset-liability committee (ALCO) governance
Fraud typologies, detection and prevention
Risk response and contingency

Sustainability, Safety and Responsible Practice

Certified Agricultural Data Scientist: industry context, trends and professional standards
Occupational safety and health principles
Emerging assurance areas (ESG)
Integration with quality and environment
The organisational context and operating environment
The regulatory and legal environment

Certification Recap and Integrated Review

Your Certification in Action: 90 Days to Recertification

Certified Agricultural Data Scientist: industry context, trends and professional standards
Designing your first 90 days after certification
Your one-year professional development trajectory
The two-year horizon: expertise, leadership and professional standing
Recertification, CPD and staying current
Building your professional portfolio and evidence of practice

Capstone Project and Certification Readiness

Certified Agricultural Data Scientist: industry context, trends and professional standards
Capstone scoping: a real agricultural problem or enterprise
Situation analysis and diagnostic assessment
Designing an evidence-based intervention or farm plan
Financial and technical feasibility analysis
Implementation planning and risk management

Learning Outcomes

What You Will Achieve

Establish a comprehensive understanding of Certified Agricultural Data Scientist principles aligned with FAO Good Agricultural Practices, GlobalG.A.P. and recognised agricultural and extension standards
Apply evidence-based methods to improve crop and livestock production, agribusiness management and sustainable farming systems
Master crop and soil science, agronomy and land management and livestock, animal husbandry and veterinary fundamentals
Apply farm business management, value chains and markets and sustainable, climate-smart and regenerative agriculture in real-world settings
Lead risk management, quality and compliance relevant to your field
Design stakeholder engagement and professional communication strategies
Use data-driven decision-making and performance-measurement tools effectively
Apply internationally recognised best practice to advance your career in crop and livestock production

Enrolment Process

How to Get Certified

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Step 1: Choose Your Certification

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Step 2: Enrol & Pay Online — Instantly

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Step 3: Study in the GLI Learning Portal

Work through 15 structured modules and 150 lessons at your own pace, with downloadable resources and expert-designed content — all inside the LMS.

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Step 4: Pass, Get Certified & Verified

Sit your final examination online, earn your certificate instantly, and receive a globally verifiable Certificate ID — plus GLI Alumni Network access.

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Frequently Asked Questions

Common Questions

What is the CADS certification?

Yes. GLI certifications are recognised across 85+ countries and are aligned with FAO Good Agricultural Practices, GlobalG.A.P. and recognised agricultural and extension standards. Graduates receive a digital certificate, a physical certificate and CPD credits recognised by employers worldwide.

Who should enrol in the CADS?

This certification is ideal for Agronomists and Farm Managers, Agricultural Extension and Advisory Officers, Agribusiness and Value-Chain Professionals and Cooperative and Rural Development Practitioners, and other professionals seeking to formalise their expertise in crop and livestock production, agribusiness management and sustainable farming systems with a globally recognised credential.

How long does the CADS certification take to complete?

The programme is structured over 20 Week and offers flexible learning modes. Self-paced learners can progress at their own schedule, while live virtual participants follow a structured cohort schedule with facilitator-led sessions.

Is the CADS internationally recognised?

What is the cost of the CADS certification?

The Certified Agricultural Data Scientist is offered in two formats: Self-Paced at USD 349 and Live Virtual at USD 549. Corporate group rates are available for organisations enrolling 5 or more participants. Contact GLI for a bespoke corporate training quotation.

What does the CADS certification include?

Enrolment includes all study materials and study guides, access to GLI's online learning portal, online examination, digital certificate and badge, physical certificate (posted), CPD credits, GLI alumni network membership, and ongoing facilitator support.

What is the assessment format for the CADS?

The Certified Agricultural Data Scientist is assessed through an online examination consisting of multiple-choice questions, case study analysis, and practical application assignments. The assessment is designed to evaluate real-world competency, not just theoretical recall.

What CPD credits do I earn from the CADS?

The Certified Agricultural Data Scientist carries Continuing Professional Development (CPD) credits, which can be applied towards professional body requirements including recognised international professional associations.

Can I study the CADS while working full-time?

Absolutely. The self-paced option is designed for busy working professionals and allows you to study when and where it suits you. Live virtual sessions are typically scheduled in the evenings or on weekends to accommodate professional commitments.

What career outcomes can I expect from the CADS?

Graduates progress towards senior agronomy, farm management and agribusiness leadership roles. The CADS strengthens your expertise in crop and livestock production, agribusiness management and sustainable farming systems and positions you for advancement across agribusinesses, cooperatives, NGOs, research institutions and government agencies.

Certified Agricultural Data Scientist

Certified Agricultural Data Scientist

Certification at a Glance

Who Should Enrol?

Everything Included in Your Enrolment

Why This Certification Matters for Your Career

Core Competencies You Will Develop

Programme Modules

What You Will Achieve

How to Get Certified

Common Questions

What Our Alumni Say

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