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Data Management, Analysis and Graphics with R Course

DATA MANAGEMENT, ANALYSIS AND GRAPHICS WITH R COURSE

INTRODUCTION

The open-source software package R is a robust, powerful, and versatile data analysis and visualization tool. This course will help participants master the R open source language, including factors, lists and data frames. With the knowledge gained in this course, participants will be ready to undertake tasks related to data analysis. This course focuses upon understanding statistical models and analysing the results whilst learning to work with R. Participants will be acquainted with various popular R packages, ability to write functions and can use attractive plots to present their data.

LEARNING OUTCOMES

Upon successful completion of the course, participants should be able to:

  • Use R to perform descriptive statistics including graphics
  • Perform basic inferential statistical analyses including regression analysis
  • Read and write data files
  • Perform data manipulations (eg, creating new variables, merging data sets)
  • Write and use R script files
  • Use R packages
  • Write and use R functions
  • Perform programming in R including loops.

COURSE OUTLINE

Module 1

Input

  • Entering data in R
  • Reading a CSV file
  • Dealing with Fixed Width Files

Data types

  • Variable Types
    • Numbers
    • Strings
    • Factors
    • Data Frames
    • Logical
  • Tables
    • One-way table
    • Two-way table

Basic Operations and Numerical Descriptions

  • Basic Operations
  • Basic Numerical Descriptions
  • Operations on Vectors

Module 2

Basic Probability Distributions

  • The Normal Distribution
  • The t Distribution
  • The Binomial Distribution
  • The Chi-Squared Distribution

Basic Plots

  • Strip Charts
  • Histograms
  • Boxplots
  • Scatter Plots
  • Normal QQ Plots

Intermediate Plotting

  • Continuous Data
  • Discrete Data
  • Miscellaneous Options

Indexing Into Vectors

  • Indexing With Logicals
  • Not Available or Missing Values
  • Indices With Logical Expression

Module 3

Data Management

  • Appending Data
  • Applying Functions Across Data Elements
    • Operations on Lists and Vectors
    • Operations by Factors

Time Data Types

  • Time and Date Variables
  • Time Operations

Introduction to Programming

  • Executing a file
    • Executing the commands in a File
    • if statements
    • for statements
    • while statements
    • repeat statements
    • break and next statements
    • switch statement
    • scan statement
  • Functions

Module 4

Statistical tests in R

  • Linear Least Squares Regression
  • Other statistical tests
    • One-way ANOVA
    • Chi-square
    • Generalized Linear Model (GLM)
    • Correlation coefficient

Calculating Confidence Intervals

  • Calculating a Confidence Interval From a Normal Distribution
  • Calculating a Confidence Interval From a t Distribution
  • Calculating Many Confidence Intervals From a t Distribution

Module 5

Calculating p Values

  • Calculating a Single p Value From a Normal Distribution
  • Calculating a Single p Value From a t Distribution
  • Calculating Many p Values From a t Distribution
  • The Easy Way

Calculating the Power Of A Test

  • Calculating The Power Using a Normal Distribution
  • Calculating The Power Using a t Distribution
  • Calculating Many Powers From a t Distribution

Two Way Tables

  • Creating a Table from Data
  • Creating a Table Directly
  • Tools For Working With Tables
  • Graphical Views of Tables

REQUIREMENTS

Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.

METHODOLOGY  

The instructor led trainings are delivered using a blended learning approach and comprises 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 professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Servithces (IRES) certificate.

TRAINING VENUE

The training is residential and will be held at IRES Training Centre. The course fee covers 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.

ACCOMMODATION

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

Email:This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 715 077 817

Tel: 020 211 3814

TAILOR- MADE

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 centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mailThis email address is being protected from spambots. You need JavaScript enabled to view it.

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B 14th September 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

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.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

 

Event Properties

Event Duration 5 Days
Event Date 21-10-2019
Event End Date 25-10-2019
Cut off date 14-10-2019
Individual Price(Kenyan) KES 69,000
Individual Price (International) EUR 790
Individual Price(International in Dollars) USD 920
Location Nairobi, Kenya
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