Training Date 4 Oct - 7 Oct, 2025
Training Mode Physical
Venue Maarifa Consult office
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Introduction

Any scientific task without the knowledge of software is difficult to imagine and complete in the current scenario. R is a free software that is capable of handling mathematical and statistical manipulations. It has its own programming language as well as built in functions to perform any specialized task. In this course, you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.  Topics in statistical data analysis will provide working examples.

objectives

  • The participant will learn to perform basic data analysis tasks with R.
  • The participant will learn to perform simple to complex data management tasks using R
  • The participant will learn to correctly identify appropriate statistical test for basic analysis s and perform them using R
  • The participant will learn to perform basic longitudinal, time series and econometric analysis
  • The participant will learn to convert data into various formats using appropriate software understand and appropriately use statistical terms and concepts
  • The participant will learn to use statistical terms and concepts

Outline

  • Introduction to R
      • Importing the data
      • Understanding the structure of the data
      • Editing output
      • Printing results
      • Creating and editing a data file
  • Quantitative Analysis using R
      • Introduction to estimation and hypothesis testing
      • Three or more samples
      • Correlation and simple linear regression
  • 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

       

  • Data Entry, management and Manipulation
      • Replacing missing values
      • Exploring data selecting and sorting cases
      • Restructuring data
      • Merging files
      • Syntax and output

       

  • Tabulations and Graphics
      • Creating and editing graphs and charts
      • Graphing Qualitative data
      • Graphing Quantitative data
      • Frequency Tables
      • Cross Tabulations

       

  • Advanced Statistical Analysis
      • Regression Analysis
      • Data Reduction Methods
      • Introduction to Longitudinal Analysis Using R
      • Introduction to Econometric Analysis

       

Approach

Our Training Approach

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies. Training manuals and additional reference materials are provided to the participants.

Certification

Upon successful completion of this training, participants will be issued with a certificate of completion.

Tailor-Made

Tailor-Made Training

We can also do this as a tailor-made course to meet organization-wide needs. Contact us to find out more: training@maarifaconsult.com / and cc    maarifaconsult@gmail.com

OR Call us on +256774361213

Fees & Payment

Fees Ugandans: UGX450000 International: USD200

Payment

The training fee covers tuition fees, learning materials, Lunch & Breakfast. Payment should be sent to our bank account before start of training and proof of payment sent to training@maarifaconsult.com /or maarifaconsult@gmail.com

Bank Account can be Requested.