Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Using the program
- The dialog boxes
- input / downloading data
- the concept of variable and measuring scales
- preparing a database
- Generate tables and graphs
- formatting of the report
- Command language syntax
- automated analysis
- storage and modification procedures
- create their own analytical procedures
Data Analysis
- descriptive statistics
- Key terms: eg variable, hypothesis, statistical significance
- measures of central tendency
- measures of dispersion
- measures of central tendency
- standardization
- Introduction to research the relationships between variables
- correlational and experimental methods
- Summary: This case study and discussion
Requirements
Motivation to learn
14 Hours
Testimonials (5)
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
The flexible and friendly style. Learning exactly what was useful and relevant for me.