
in this module, you will learn the basics of SPSS software, how to enter and define data , types of variables , missing data
in this module, you will learn how to check data and test for normality to see whether data is normally or not normally distributed
in this module, you will learn how to compute new variables and how to transform variables into new ones like computing BMI and transform it to categorical variable
in this module, you will learn how to do descriptive analysis like frequency and percentage, Mean , SD, Median,IQR
in this module, you will learn how to generate most graphs using SPSS like Histogram, Bar chart, Pie charts, Box plot, Scatter plot, Line graph
in this module, you will learn which statistical test to use depending on variable types in very easy and forward manner
in this module, you will learn how to perform Chi-Square analysis
in this module, you will learn how to perform independent T test analysis
in this module, you will learn how to perform Paired T test analysis
in this module, you will learn how to perform One Way ANOVA analysis
Many students and health professionals found statistics to be very tough and not an easy way to understand & interpret scientific results. This course is an introductory course for beginners on how to use SPSS software to analyze data for both undergraduate and postgraduate students. It will help and guide you to do an analysis of your data whether descriptive or inferential statistics. The course focuses more on the practical side with hands one videos on how to perform the most common statistical analysis in SPSS with step-by-step instructions and guidance.
The following topics will be covered:
Data entry
Data cleaning and checking
Data transformation
Descriptive statistics
Graphs (Bar, Pie, Histogram, Box Plot).
Which statistical test to use?
Chi-square analysis
Independent t-test
Paired T-test
One-way ANOVA test
Correlation
Regression Analysis
The course contains both videos and pdf files to guide you through the process of data analysis.
WHO SHOULD TAKE THIS COURSE?
1. Researchers interested in data analysis
2. Undergraduate students can benefit from this course in their final-year projects
3. Postgraduate students (master's and Ph.D.) especially those with quantitative design studies
4. Marketing people that deal with market analysis
5. Anyone interested in Statistics and data analysis will benefit from this course.