Food Security and Agriculture

Training Course on Statistical Data Management and Analysis using R

Course Overview

The Statistical Data Management and Analysis using R training provides a comprehensive introduction to leveraging the R programming language for effective data manipulation, exploration, and statistical modeling. Through a series of hands-on exercises and real-world examples, participants will learn essential techniques such as data importation, cleaning, visualization, and modeling. By the end of the course, attendees will have the skills and confidence to tackle diverse analytical challenges, create reproducible reports using R Markdown, and apply statistical methods to extract meaningful insights from complex datasets.

Course Duration:

Online Training: 6 days

Classroom Training: 5 days

Course Outline

Module 1: Introduction to Statistical Analysis

  • Basic steps of the research process
  • Difference between populations and samples
  • Difference between experimental and non-experimental research designs
  • Difference between independent and dependent variables

Module 2: Introduction to R software for statistical computing

  • Overview of the R Studio IDE
  • Installing, loading and updating R packages
  • Creating objects in R
  • Data types
  • Data structures
  • Sorting vectors and data frames
  • Directory management commands
  • Direct data entry in R (for small data sets)
  • Importing data from other software
  • Decision structures (if, if-else, if-else if-else)
  • Repetitive structures (for and while loops)
  • Other important programming functions (break, next, warn, stop)

Module 3: Data Wrangling and Cleaning in R

  • Working with variables
  • Transform continuous variables to categorical variables
  • Add new variables to data frames
  • Handling missing values
  • Sub-setting data frames
  • Appending and merging data frames
  • Spit data frames
  • Stack and unstack data frames

Module 4: Explanatory Data Analysis (EDA) in R

  • Creating tables of frequencies and proportions
  • Cross tabulations of categorical variables
  • Descriptive statistics for continuous variables

Module 5: Data Visualization using R base package

  • Introduction to graphs and charts in R
  • Customizing graph attributes (titles, axes, text, legends)
  • Graphs for categorical variables
  • Graphs for continuous variables
  • Graphs to investigate relationship between variables

Module 6: Mean Comparison Tests in R

  • One Sample T Test
  • Independent Samples T Test
  • Paired Samples T Test
  • One-way analysis of variance (ANOVA)

Module 7: Tests of Associations in R

  • Chi-Square test of independence
  • Pearson\\\'s Correlation
  • Spearman\\\'s Rank-Order Correlation

Module 8: Predictive Regression Models Using R

  • Linear Regression
  • Multiple Linear Regression
  • Binary Logistic Regression
  • Ordinal Logistic Regression

Note: This outline provides a general structure for the training. The specific content, activities, and duration of each session may be adjusted based on the target audience, learning objectives, and available time.

Classroom Training Schedule

Start Date End Date Location Cost Apply
May 06, 2024 May 10, 2024 Nairobi $ 950 Register
Jun 10, 2024 Jun 14, 2024 Nairobi $ 950 Register
Jul 15, 2024 Jul 19, 2024 Nairobi $ 950 Register
Aug 19, 2024 Aug 23, 2024 Nairobi $ 950 Register
Sep 23, 2024 Sep 27, 2024 Nairobi $ 950 Register
Oct 28, 2024 Nov 01, 2024 Nairobi $ 950 Register
Dec 02, 2024 Dec 06, 2024 Nairobi $ 950 Register

Virtual Training Schedule

Start Date End Date Location Cost Apply
Apr 15, 2024 Apr 20, 2024 Online $ 400 Register
May 20, 2024 May 25, 2024 Online $ 400 Register
Jun 24, 2024 Jun 29, 2024 Online $ 400 Register
Jul 29, 2024 Aug 03, 2024 Online $ 400 Register
Sep 02, 2024 Sep 07, 2024 Online $ 400 Register
Oct 07, 2024 Oct 12, 2024 Online $ 400 Register
Nov 11, 2024 Nov 16, 2024 Online $ 400 Register
Dec 16, 2024 Dec 21, 2024 Online $ 400 Register

Registration Process

Enrolling in our training programs is effortless! Upon submitting your details on the course registration link, a representative will get in touch with the relevant information.

Group Discounts

Boost your team's skills and maximize value with our attractive group discounts. Enroll 3 or more participants and enjoy significant discounts on any of our training programs.

Course Language

This Training course is offered in ENGLISH . Please indicate the language of choice during registration.

Training Approach

Our instructor-led trainings use well guided presentations, practical exercises, and group acivities. Participants are encouraged to bring any data relevant to their job responsibilities. Training manuals and additional reference materials are provided to the participants.


Upon completion of training, the participant will be issued with a certificate of Completion.

Post Training Support

Our commitment our clients success extends beyond the training program. We offer ongoing 3 months support through Q&A sessions, online forums, and access to our expert instructors.

Tailor-Made Course

We design customized training programs and inhouse workshops to meet specific training needs and organizational goals. Contact us to find out more: