In this training you will learn how to use R for effective data management and analysis. The training is job oriented and covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, and organizing and manipulating data. Topics in statistical data analysis will provide working examples.

DURATION

5 days

COURSE OBJECTIVES

Understand and appropriately use statistical terms and concepts
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
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 and perform them using R
Perform Advanced Statistical Analysis using R

TOPICS TO BE COVERED

Introduction to R
Data Objects (Data types and Data structures)
Data types
Data structures
Importing data
Data Entry, management and Manipulation with R
Introduction to R Graphics
Working with Graphics in R
Summarizing data using R
Quantitative data Analysis using R

Visit our website for more details.

Tailor-Made Training

This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training center or at a convenient location.

How to participate

Tailors make your course.

Become one of our partners.

Purchase software’s

Frequently asked Questions (FAQ’s)

View related courses

Data Management and Analysis for Surveys using Stata Course
Processing and Analysis of Data for Surveys/Assessment (Methodology and Software) Course
Panel Data Analysis using Stata
Advanced Excel Course

The most popular courses

Digital marketing (Email & Social Media) and Brand Online Visibility.
Establishing and strengthening farmer organizations.
Proposal Preparation Using the Logical Framework Approach.
GIS Analysis for WASH Programmes.
Strategic Financial Management.

View course catalogue in Research Institute

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814, +254 731240802, +254 735331020.

Email [email protected]

Reviews

Be the first to write a review about this course.

Write a Review

Indepth Research Services (IRES) is a global institutional capacity building, technical and management consultancy firm with its head office in Nairobi, Kenya.

IRES offers technical and management consultancy services as well as education and training services designed for individuals’ and groups from organizations working in public, not for profit and private sectors.

IRES Kenya has identified itself with a niche market that largely comprises of Government ministries, departments and agencies (MDA’s) and UN agencies, Non-Governmental Organizations, from Africa, Europe, Asia, Middle-East and the Caribbean. We have also served academic institutions, international research organizations, financial institutions and private companies from across the globe. As at 2018 we offer our services in more than 15 locations globally.

Our technical and management consultancy services are in the areas of Agriculture, Education, Energy, Oil and gas, Health, Environment and natural resources, ICT for development, spatial planning, Governance, Management and leadership, communication, transport, revenue management, marketing development and environment among others.
Our education and training services are aimed helping individuals improve their professional knowledge, competence, skill, and effectiveness and enable the institutions to get the best out of their workforce. This is achieved through conducting high impact professional diploma and certificate courses, short courses, conferences, workshops and seminars. ...

View Complete Profile

Database & Information Systems