Indepthresearch
outreach@indepthresearch.org
  + 254 20 211 3814 | +254 731 240 802
   +254 735 331 020 | +254 715 077 817
Westlands, Rhapta Road
Njema Court, Suite R2
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Data Management, Analysis and Graphics with R Course

INTRODUCTION

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

  • Why use R?
  • Obtaining and installing R
  • The R environment
  • Working with R
  • Packages
  • The available help
  • Batch processing
  • Using output as input—reusing results
  • Working with large datasets
  • The R workspace, managing objects
  • R Packages
  • Conflicting objects
  • Editors for R scripts

Data Objects (Data types and Data structures)

Data types

  • Double
  • Integer
  • Complex
  • Logical
  • Character
  • Factor
  • Dates and Times
  • Missing data and Infinite values.

Data structures

  • Vectors
  • Matrices
  • Arrays
  • Data frames
  • Time-series objects
  • Lists
  • The string function

Importing data

  • Text files
  • Excel files
  • Databases
  • From other statistical software

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

Introduction to R Graphics

  • Introduction
  • High-level plotting commands
  • Low-level plotting commands
  • Interacting with graphics
  • Modifying a graph

Working with Graphics in R

  • Graphs and charts for dichotomous and categorical variables
  • Graphs and charts for ordinal variables
  • Tabulations for summary statistics for continuous variables
  • Graphs and charts for continuous variables

Summarizing data using R

  • Numerical summaries for discrete variables
  • Tables for dichotomous variables
  • Tables for categorical variables
  • Tables for ordinal variables

Quantitative data Analysis using R

  • Planning for qualitative data analysis
  • Basics for statistical analysis
  • Testing for normality of data
  • Choosing the correct statistical test
  • Hypothesis testing
  • Confidence intervals
  • Tests of statistical significance (Parametric and non-parametric tests)
  • Hypothesis testing versus confidence intervals

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 Services (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:outreach@indepthresearch.org.  

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 mailoutreach@indepthresearch.org

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B13th March 2017

Send proof of payment to outreach@indepthresearch.org

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

Duration 5 Days
Event Date 15-05-2017
Event End Date 19-05-2017
Cut off date 08-05-2017
Individual Price (Kenyan) KES 75,000.00
Individual Price (International) EUR 1,012.00
Individual Price (International) USD 1,100.00
Location Nairobi, Kenya

Group Tariffs

Group Size Kenyan Rate Per day (KES) International Rate Per day (USD/EURO)
6-10 95,000.00 $ 1,118.00
€ 1,018.00
11-15 146,250.00 $ 1,721.00
€ 1,567.00
16-20 191,250.00 $ 2,250.00
€ 2,048.00
21-25 230,000.00 $ 2,706.00
€ 2,463.00
26-30 262,500.00 $ 3,089.00
€ 2,811.00
30-50 309,825.00 $ 4,556.00
€ 0.00
3-5 62,500.00 $ 736.00
€ 670.00
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© Indepth Research Services Ltd 2017