Introduction to R Programming Training Course

Event Name : Introduction to R Programming Training Course

Venue: Tech for Development Training Center, Nairobi, Kenya

Event Date: 2nd to 4th March 2020

Course Fee: KES 47,000.00 or USD 627.00

Tech for Development-T4D would like to invite you to a high impact Introduction to R Programming Training Course to be held in Nairobi, Kenya from 2nd to 4th March 2020 .

Why train with us?

  • Our focus is on helping your organization achieve workplace performance improvements.
  • Our rigorous pre-training evaluation ensures a robust training model that aligns training with the culture, strategic direction, and internal resources of your organization.
  • Our extensive experience, expertise and client base - We have conducted training to over 10,000 attendees from 20 countries around the world.
  • We boast of staff and associate trainers/facilitators with a combined 400+ years of experience training and facilitating in fields of technology, research, software development, ICT4D, GIS, M&E and soft skills.
  • We are not independent contractors; all our people work as part of your Project Team.
  • Attendees benefit from our post training support and mentorship provided to each attendee for 12 months after completion of any training course.
  • Small class sizes - No more than 15 people to ensure you get the most from our trainers.


This R Programming training course teaches attendees how to use R programming to explore data from a variety of sources by building inferential models and generating charts, graphs, and other data representations.

After completing this course, students will be able to use R to summarize and graph data, calculate confidence intervals, test hypotheses, assess goodness-of-fit, and perform linear regression.


Participants should be reasonably proficient in English.


3 Days

Learning outcomes

  • To introduce new users into using R statistical software.

  • To empower participants on data management and data analysis.

  • To broaden the knowledge of participants on understanding data types and making correct choices for data analysis.

  • To facilitate participants’ understanding of the types of analysis to conduct on their datasets for results.

  • Understand and appropriately use statistical terms and concepts.

  • Design computer aided data capture screens using CSPRO.

  • Use mobile phone data collection tool Open Data Kit (ODK) to collect survey data.

  • Convert data into various formats using appropriate software.

  • Perform basic data analysis tasks with R.

  • Perform simple to complex data management tasks using R.

  • Correctly identify appropriate statistical test for basic analysis s and perform them using R.

  • Perform Advanced Statistical Analysis such as GLM, PCA and Power Analysis.

Course outline

Basic statistical terms and concepts

  • Basic data quality checks

  • Basic exploratory data analysis procedures

  • Basic Descriptive Statistics

  • The core functions of inferential statistics

  • Common inferential statistics

  • Concepts and Software for Data Processing

  • Data Processing using Census and Surveys Processing Software (CsPro)

  • Use of Mobile Phones for Data Collection and Processing

Introduction to R

  • Why use R?

  • Obtaining and installing R

  • Working with R

  • Packages

  • Batch processing

  • Using output as input—reusing results

  • Working with large datasets

Data Entry, management and Manipulation with R

  • Creating a dataset

  • Understanding datasets

  • Data structures

  • Data input

  • Annotating datasets

  • Useful functions for working with data objects

  • Creating new variables

  • Recoding variables

  • Renaming variables

  • Missing values

  • Date values

  • Type conversions

  • Sorting data

  • Merging datasets

  • Subsetting datasets

  • Using SQL statements to manipulate data frames

Tabulations and Graphics with R

  • Graphing Qualitative data

  • Graphing Quantitative data

  • Getting Started R Graphics

  • Working with graphs

  • A simple example

  • Graphical parameters

  • Adding text, customized axes, and legends

  • Combining graphs

  • Basic Graphs (Bar plots Pie charts, Histograms, Kernel density plots, Box plots, Dot plots)

  • Intermediate graphs (Scatter plots, Line charts, Correlograms, Mosaic plots)

  • Frequency and contingency tables

Quantitative Analysis using R

  • Descriptive statistics

  • Correlations

  • t-tests

  • Nonparametric tests of group differences

  • Visualizing group differences

  • Regression

  • Analysis of Variance

  • Power Analysis

Advanced Statistical Analysis

  • Generalized Linear Models

  • Principal components and factor analysis

  • Advanced methods for missing data


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 professionals 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 a certificate of participation.

Training venue

The training is residential and will be held at T4D Training Centre in Westlands Nairobi, Kenya. The course fees cover the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

Tailor-made training

We can also tailor-make our courses for you. This way, you/your organization will benefit by:

  • Using own tools during the training

  • Being able to choose areas of interest you wish the trainer to put more emphasis on

  • Taking the course in-house or at a venue of choice

  • Cutting on the cost of transport and accommodation

For further inquiries, please contact us on details below:

Email: [email protected]

Mobile: +254 (0) 706 909947


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: [email protected]

Mobile Number: +254 706909947

Training fee

The course fee is KES 47,000.00 or USD 627.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.


Payment should be transferred to Tech For Development - T4D account through bank on or before the course starting date.

Send proof of payment to [email protected]

Cancellation policy

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

  1. Participants may cancel attendance 14 days or more prior to the training commencement date.

  2. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met

Contact information

Tel: +254 706909947
Email: [email protected]

Kind regards.

Lennox I. Mucheni
Customer Relationship Officer,
Tech For Development.
Innovation for impact