Data Analysis with SPSS Course in Nairobi, Kenya
Details
Introduction
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.
How to register:
To register, send an email to: [email protected] You can also visit our website on www.opencastlabs-africa.com and fill an online application form and submit to us.
February 10th - 14th 2020
Register Online: https://cutt.ly/7rQhR3R
View Related Courses: http://opencastlabs-africa.com/data-collection-and-analysis/
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 : [email protected]
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: [email protected]
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
Outline
- Familiarizing with the SPSS interface
- Importing data from excel
- Creating bar charts for categorical variables
- Creating boxplots for quantitive variables
- Creating an histogram for quantitive variables
- 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
- Case selection
- The splitfile command
- How to merge files
- The multiple response command
- Working with frequencies
- Working with descriptives
- The explore command
- Inferential statistics for a single propotion
- Inferentials for a single mean
- Inferentials for a single categorical variable
- Clustered bar charts
- Scatterplots
- Time series charts
- Bar charts for group means
- Population pyramids
- Boxplots for groups
- Side-by-side boxplots
- 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
- Clustered bar charts for frequencies
- Scatterplots by group
- 3-D scatterplots
- Scatterplot matrices
- Automatic linear models
- Multiple regression
- Comparing means with two-factor ANOVA
- Formatting descriptive statistics
- Formatting correlations
- Formatting regression
- Exporting charts and tables
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