Course Outline
- Definition of Statistics
- Stages in Statistics; Designing of studies, collection of qualitative data, describing data, analysis of data, interpretation of results, drawing of conclusion and making statistical inference.
- Levels of Measurement
- Hypothesis testing
- Correlation analysis
- Regression analysis
- Describing data (tables, pie chart, bar charts: simple, clustered/multiple and stacked/component bar charts, area chart, measure of central tendency and measure of dispersion)
- Test of significance difference (Parametric tests e.g. t-test and ANOVA test and Non-parametric test e.g. chi square test, Mann Whitney U test and Kruskal Wallis test)
- Regression analysis (Estimation of the four functional forms viz., linear, semi-log, double-log and exponential to select the lead equation)
- Importing, exporting files from and to excel spread sheet respectively and saving files in SPSS format.
- Labelling, giving values and stipulating missing values on variable and data view of SPSS spread sheet
- Ranging of numerical (interval and ratio) variables
- Transforming of variables ((i) finding the natural log of variables (ii) performing basic operations (iii) creation of new variables from the existing ones.
- Splitting of data files into different categories
Course Benefits
Flexible Online Schedule
You choose when and how you want to learn
Offline Learning Mode
Download course videos and watch lessons
Interract with a Tutor
Get live session with tutor and enjoy learning
Get the best out of this online data analysis course
Pay only ₦10,000 only.
- Practical hands on training
- Free Mentoring after training
- Free certificate
- 24/7 Support
- One month access to the online course
