Quantitative Data Management and Analysis Using R
Location
Nairobi, Kisumu, Homabay
Duration
4 Days
Target
Quantitative Analysts and Researchers
description
curriculum
Training Approach
R Training

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, discuss 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, and organizing and commenting R code. Topics in statistical data analysis and optimization will provide working examples.

Requirements
  • Basic Computer Skills.
  • Laptop/Computer With preferably Windows Installed
  • Passion for Statistical Analysis.
  • You need not prior knowledge of R
What is the target audience?

This course is intended for Data Analysts, Data Scientists, Business Intelligence Analysts and any other professional who want to explore the vast range of analytical and graphical capabilities of R.

What you will Learn
By the end of the course the learner should be able to?

1. Understand quantitative analysis techniques

2. Master R and R Studio user interface

3. Import data from various sources

4. R Scripts

5. Carry out quantitative data analysis using R

6. Write a quantitative report

FAQ
As an upcoming Quantitative Researcher why R?

- open Source

- R provides exemplary support for data wrangling. The packages like dplyr , readr are capable of transforming messy data into a structured form.

- With packages like Shiny and Markdown, reporting the results of an analysis is extremely easy with R. You can make reports with the data, plots and R scripts embedded in them. You can even make interactive web apps that allow the user to play with the results and the data.

Is R a programming?

R is a programming language and environment commonly used in statistical computing, data analytics and scientific research.

What background knowledge is necessary?

Background in Statistics is an added advantage but any one with passion to be a top quantitative researcher is encouraged to apply.

Quantitative Data Management and Analysis Using R

This course aims to build the capacity of quantitative research in quantitative data management and analysis using R software. This software has many features that make it the most endearing quantitative data analysis software available, given it’s open source nature.

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.

Fee Coverage
  • Tuition fees.
  • Writing material
  • 2 mineral water per participant per day, mints.
  • 10am & 4pm tea with three choice snacks
  • 3 Course Buffet lunch with soft drink.
Accomodation

Accommodation will be arranged for our participants upon request.

Payments

Payment receipts made should be sent to info@amrecafrica.org