Experimental Design in Agriculture using Statistical Analysis System (SAS) Course


The Experimental Design in Agriculture using Statistical Analysis System (SAS) course is designed to provide participants with a comprehensive understanding of how to design and analyze experiments in the field of agriculture using SAS software. This course covers the fundamental principles of experimental design, including randomization, replication, and blocking, and teaches participants how to apply these principles to agricultural research. Through hands-on exercises and practical examples, participants will learn how to use SAS to import, manage, and analyze agricultural data, and how to interpret and present the results of their experiments. Whether you are a researcher, agronomist, or student in the agricultural field, this course will equip you with the necessary skills to design and analyze experiments effectively using SAS.


10 days.

Who Should Attend?

  • Agricultural consultants
  • Data analysts
  • Agricultural scientists
  • Agronomists
  • Agricultural researchers

  • Understand the role of SAS software in agricultural research and its applications in data analysis.
  • Learn how to import, manage, and manipulate agricultural research data using SAS.
  • Gain proficiency in performing basic and advanced statistical analyses in SAS for agricultural research.
  • Understand the principles of experimental design and learn how to implement them using SAS.
  • Develop skills in data visualization, reporting, and integration with other software tools commonly used in agricultural research.
  • Gain practical experience through hands-on exercises and case studies in analyzing and interpreting agricultural research data using SAS.
  • Develop effective communication skills for presenting research findings and results using SAS to both technical and non-technical audiences.

Module 1: Introduction to SAS for Agricultural Research

  • Overview of SAS software and its applications in agricultural research
  • Introduction to the SAS environment and interface
  • Data manipulation techniques using SAS
  • Basic statistical procedures in SAS

Module 2: Principles of Experimental Design in Agriculture

  • Introduction to experimental design principles
  • Randomization and replication in agricultural experiments
  • Blocking techniques for controlling variation
  • Factorial designs and their applications in agriculture
  • Latin square designs and their advantages in agricultural research

Module 3: Data Management and Preparation in SAS

  • Data entry and validation techniques specific to agricultural experiments
  • Data cleaning and transformation using SAS
  • Handling missing data in agricultural datasets
  • Data formatting and summarization in SAS

Module 4: Analysis of Variance (ANOVA) in Agricultural Research

  • Introduction to ANOVA and its applications in agriculture
  • Performing one-way ANOVA using SAS
  • Two-way and higher-order ANOVA in agricultural experiments
  • Post-hoc tests and multiple comparison adjustments in SAS

Module 5: Regression Analysis in Agriculture

  • Simple linear regression in agricultural research
  • Multiple regression models and their interpretation
  • Assessing model assumptions and diagnostics in SAS
  • Variable selection techniques in regression analysis using SAS

Module 6: Experimental Design and Analysis of Field Trials

  • Design considerations for field experiments in agriculture
  • Split-plot and strip-plot designs and their applications
  • Repeated measures designs and their analysis using SAS
  • Spatial analysis techniques for field trial data in SAS

Module 7: Advanced Topics in Agricultural Experimentation

  • Mixed models and their applications in agricultural research
  • Analysis of covariance (ANCOVA) in agricultural experiments
  • Non-parametric methods for analyzing agricultural data in SAS
  • Longitudinal data analysis using SAS PROC MIXED

Module 8: Data Visualization and Reporting in SAS

  • Creating effective graphs and charts using SAS
  • Customizing tables and reports in SAS
  • Exporting SAS results for presentation and publication
  • Best practices for data visualization and reporting in agricultural research

Enroll for this Course

We are proud to offer this course in a variety of training formats to suit your needs.


Enroll for a Face-to-Face (In-Person) Class

We use the highest quality learning facilities to make sure your experience is as comfortable as possible.

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Enroll for a Virtual (Zoom) Class

Join a scheduled class with a live instructor and other delegates.

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Enroll for an Online Self-Paced Class

Keep track of your own progression throughout your course and ensure continuous improvement.

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Benefits of Taking a Course at IRES


Our courses are carefully curated to keep you abreast of latest industry trends, technological advancements, and best practices. We employ a variety of teaching methodologies, including hands-on workshops, case studies, and interactive sessions, all aimed at fostering an engaging and effective learning environment. Our expert instructors bring a wealth of knowledge and real-world experience, providing our clients with insights that can be immediately applied in their professional lives.


Our courses serve as a vibrant platform for professionals to connect and engage with a diverse community of peers, industry leaders, and experts. By participating in our programs, you gain access to an invaluable network that spans across various sectors and geographical boundaries. This networking aspect is not just about forming professional relationships; it's about creating a supportive ecosystem where ideas, opportunities, and collaborations can flourish.


Our courses are designed to challenge and inspire professionals to step out of their comfort zones and explore new horizons. Through a combination of theoretical knowledge and practical application, our programs help professionals refine their existing skills and acquire new ones, making them more versatile and competitive.

FAQs & Course Administration Details:

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on Phone: +254 715 077 817 or Email: [email protected].
The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
Payment should be transferred to IRES account through bank on or before start of the course. Send proof of payment to [email protected].
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer. Email: [email protected] Phone: +254 715 077 817.