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 3 day
course costs 350$ (305,000 FRW), Exclusive of a 18% 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
|
08-08-2018 8:30 am
|
Event End Date
|
10-08-2018 4:00 pm
|
Cut off date
|
03-08-2018
|
Individual Price
|
350$ Per Delegate
|
Location
|
OpenCastLabs Training Facilities, Kigali
Rwanda
|
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:
Rwanda:
P.O Box
4543 Kigali
3rd
Floor La Bonne Address House
Avenue de la Revolution
Tel: Kigali +250 788 470 532
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
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.
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
No comments:
Post a Comment