Data Analysis with R Statistics, Nairobi Kenya 8th-12th October

R is the language of big data—a statistical programming language that helps describe, mine and test relationships between large amounts of data. Learn how to Model statistical relationships using graphs, calculations, tests, and other analysis tools. Learn how to enter and modify data; create charts, scatter plots, and histograms; examine outliers; calculate correlations; and compute regressions, bivariate associations, and statistics for three or more variables.

We will pick you from the bottom, install R in your computer, show you how to use built-in datasets, import your own data into the programme,create charts from bar…pie.hitogram to boxplots. We will also show you how to run frequencies and descriptives, transform variable as well as coding missing data. You will also learn how to analyze subgroups, create charts of association, calculate correlations, create charts and statistics for three or more variables and finish with creation of crosstabs for categorical variables.

Pre-requisetes:

Trainees are expected to have a basic understanding of statistics.

The 5 day training will be enough to get you comfortable with R Statistics.

1.      The preliminaries

a.      Installing R on your computer

b.      Using RStudio

c.      Familiarizing with the R interface

d.      R packages

e.      The built-in R datasets  

f.       Manual data entry

g.      Importing data

h.      Converting tabular data to row data

i.       Colours and R

j.       The Colorbrewer

2.      One Variable Charts

a.      Bar charts for categorical variables

b.      Pie charts for categorical variables

c.      Histograms for quantitative variables

d.      Box plots for quantitative variables

e.      Overlaying plots

f.       Saving images

3.      One Variable Statistics

a.      Calculating frequencies

b.      Calculating descriptives

c.      Single proportion: Hypothesis test and confidence interval

d.      Single mean: Hypothesis test and confidence interval

e.      Single categorical variable: One sample chi-square test

f.       Examining robust statistics for univariate analyses

4.      Data modification

a.      Examining outliers

b.      Transforming variables

c.      Computing composite variables

d.      Coding missing data

e.      Quiz

5.      Working with the Data File

a.      Case selection

b.      Subgroup analysis

c.      Merging files

6.      Charts for Associations

a.      Bar charts of group means

b.      Grouped box plots

c.      Scatter plots

7.      Association statistics

a.      Correlation

b.      Computing a bivariate regression

c.      Comparing means with the t-test

d.      Comparing paired means- Paired t-test

e.      Comparing means with a one-factor ANOVA

f.       Comparing proportions

g.      Creating cross tabs for categorical variables

h.      Computing robust statistics for bivariate associations

8.      Charts for Three or More Variables

a.      Clustered bar charts for means

b.      Scatter plots for grouped data

c.      Scatter plot matrices

d.      3D scatter plots

9.      Statistics for Three or More Variables

a.      Multiple regression

b.      Comparing means with a two-factor ANOVA

c.      Cluster analysis

d.      Conducting a principal components/factor analysis  

The 5 day course costs 750$ (75,000 KES), Exclusive of a 16% V.A.T, The Cost includes all training fees, materials, lunch and refreshments as well as certificates and 6 month post training support.

Event Details

Event Date	08-10-2018 8:30 am
Event End Date	12-10-2018 4:00 pm
Cut off date	03-10-2018
Individual Price	750$ Per Delegate
Location	OpenCastLabs Training Facilities, Nairobi Kenya

How to register:

To register, send an email to: outreach@opencastlabs-africa.com You can also visit our website on www.opencastlabs-africa.com  and fill an online application form and submit to us.

Contact Details:
The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 - 00100 , Nairobi, Kenya
Tel: +254 0204409651   Mobile: +254 723870644
Email : outreach@opencastlabs-africa.com

Language

Participants should be reasonably proficient in English.  

Fee Exceptions

All international participants will cater for their, travel expenses, visa application, insurance, accommodation and other personal expenses.

Accommodation

Accommodation is arranged upon request. For reservations contact us below.

Email: outreach@opencastlabs-africa.com

Payment:

Payment should be transferred through bank 5 days before commencement of training.

Cancellation policy

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
• The appropriate cancellation charge will apply