Data Analysis with SPSS 30th July - 3rd August, Nairobi

In this course we take you through practical sessions of data analysis in SPSS from the basics. We adopt a non-mathematical approach by taking a real life business, research, government and academic organizational perspective. We will dwell in the importation of data from excel, creation of descriptive charts, modifying and selecting cases, calculating descriptive and inferential statistics. We will also tackle modeling of associations with correlations, contingency tables and multiple regressions. We will also learn how to format our output and export tables and charts.

Course overview

Introduction

·         Familiarizing with the SPSS interface

·         Importing data from excel

Creating charts for one variable

·         Creating bar charts for categorical variables

·         Creating boxplots for quantitive variables

·         Creating an histogram for quantitive variables

Data modification

·         How to recode variables

·         How to recode variables with visual binning

·         How to recode by rank case

·         Computing new variables

·         Combining and exclusion of outliers

·         How to transform outliers

The data file

·         Case selection

·         The splitfile command

·         How to merge files

·         The multiple response command

Descriptive statistics for one variable

·         Working with frequencies

·         Working with descriptives

·         The explore command

Inferential statistics for one variable

·         Inferential statistics for a single propotion

·         Inferentials for a single mean

·         Inferentials for a single categorical variable

Charts for two variables

·         Clustered bar charts

·         Scatterplots

·         Time series charts

·         Bar charts for group means

·         Population pyramids

·         Boxplots for groups

·         Side-by-side boxplots

Descriptive and inferential statistics for two variables

·         Calculating correlations

·         Bivariate regression

·         Crosstabs for categorical variables

·         Comparing means with the means procedure

·         Mean comparison with t test

·         Mean comparison with one way ANOVA

·         Comparing paired means

Charts for three or more variables

·         Clustered bar charts for frequencies

·         Scatterplots by group

·         3-D scatterplots

·         Scatterplot matrices

Descriptives for three or more variables

·         Automatic linear models

·         Multiple regression

·         Comparing means with two-factor ANOVA

Formatting and Exporting tables and charts

·         Formatting descriptive statistics

·         Formatting correlations

·         Formatting regression

·         Exporting charts and tables

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	30-07-2018 8:30 am
Event End Date	03-08-2018 4:00 pm
Cut off date	25-07-2018
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