Requirements
- • A love for data analysis and statistics, research aptitude and motivation to do great research work
- • Laptop.
- SPSS Software
Features
- This is 5 days training program. Investments • The course fee is Ksh. 85,000 per person (break tea and lunch are provided). For client hosted trainings with participants more than 10, a discount of 10% applies. • In-house trainings are available at discounted rates. Certification Participate will be issued with certificate of participation.
Target audiences
- • PhD students and researchers looking to master SPSS skills and publish in high impact journals
- • Professionals looking for a career in analytics in corporate sector
- • Faculty members looking to master SPSS and advance their data analysis skills
- • M&E Professionals.
ABOUT THE PROGRAM
A good knowledge of quantitative data analysis is a sine qua none for progress in academic and corporate world. Keeping this in mind this course has been designed in such way that students, researchers, teachers and corporate professionals who want to equip themselves with sound skills of data analysis and wish to progress with this skill can learn it in in-depth and interesting manner using IBM SPSS Statistics. This SPSS course will teach you the fundamentals of using SPSS. This SPSS course involves working on a number of practical, hands on examples and exercises in a workshop environment. Led by highly experienced SPSS trainers with many years of experience here at CYNET EAST AFRICA CONSULTANCY mean that our hands-on courses will leave you with lots of practical SPSS experience as well as useful tips and tricks. Our course will show you how to make the most of SPSS software package.
Program Objectives
On completion of this program, you will develop an ability to independently analyze and treat data, plan and carry out new research work based on your research interest. The program encompasses most of the major type of research techniques employed in academic and professional research in most comprehensive, in-depth and stepwise manner.
This program has been designed in such way that:
- Data Analysts,
- Statisticians,
- Business Analysts,
- Government and Policy Analyst,
- PhD students, and Researchers looking to master SPSS skills and publish in high impact journals can learn it in in-depth and interesting manner using IBM SPSS Statistics.
Training Period
- Classroom: 5 Days
- Online: 7 Days
Module 1: Introduction to SPSS statistical software.
- SPSS interface and features.
- Key terminologies used in SPSS.
- Views: Variable, Data views, Syntax editor.
- Data file preparation.
- Data entry into SPSS.
- Data manipulation: merge files, spit files, sorting files, missing values.
Module 2: Basic Statistics using SPSS.
- Descriptive statistics for numeric variables.
- Frequency tables.
- Distribution and relationship of variables.
- Cross tabulations of categorical variables.
- Stub and Banner Tables.
Module 3: Graphics using SPSS.
- Introduction to graphs in SPSS.
- Graph commands in SPSS.
- Different types of Graphs in SPSS.
Module 4: Statistical Tests using SPSS.
- One Sample T Test.
- Independent Samples T Test.
- Paired Samples T Test.
- One-Way ANOVA.
Module 5: Statistical Associations in SPSS.
- Chi-Square test.
- Pearson’s Correlation.
- Spearman’s Rank-Order Correlation.
- Bivariate Plots and Correlations for Scale Variables.
Module 6: Predictive Models using SPSS.
- Linear Regression.
- Multiple Regression.
- Logistic Regression.
- Ordinal Regression of several types of nonparametric tests.
Module7: Nonparametric Tests.
v Describe when non-parametric tests should and can be used.
v Describe the options in the Nonparametric Tests procedure dialog box and tabs.
v Interpret the results of several types of nonparametric tests.
Module 8: Time Series and Forecasting using SPSS.
- The basics of forecasting.
- Smoothing time series data.
- Regression with time series data.
- ARIMA models.
- Intervention analysis.
Module 9: SPSS Decision Trees.
- Introduction to SPSS Decision Trees.
- Application of SPSS Decision Trees.
- Overview of decision tree-based methods (CRT Decision Trees CRT Regression Trees Quest Analysis.
Delivery Method
This program is taught through a mix of practical activities, theory, group work and case studies. Training manuals and additional reference materials are provided to the participants.
CERTIFICATION
Upon successful completion of the training, participants will be awarded a certificate of course completion
.
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