Data Analysis - Types Of Data And Its Measuring Techniques
Data analysis is a process in which a data is inspected, cleaned, transformed, and modelled with the only goal to discover information that will help an organisation to make up decisions for future strategies and endeavours. Data is gathered through different sources. Some of the major examples of the same are:
- Customer behaviour analysis
- Customer data
- Smartphone application data
- Weather data, etc.
Data analysis is a subject that is not only taught under the curriculum of engineering but also marketing. The universities make sure that the students get the best education and learning amongst all and so learn through exam preparation, internships, and internal assessments. But taking out the required time for assignments after tiring hours of internships and exam preparation becomes a difficult task to do. This is why students should take Data analysis assignment help in Australia from the experts who will help with data analysis assignment in Australia.
Data Types And Measuring Techniques
Data that is collected to come up with its analysis are said to be of two types such as:
- Quantitative data that deals with the information and data that is numerical in nature. Examples of such data are the - sales number, marketing data, revenues, payroll data, etc.
- Qualitative data is inclusive of the information that one takes in through surveys and interviews.
There are various ways to collect the two types of data such as:
- Regression analysis (quantitative data)
- Hypothesis testing (quantitative data)
- Monte Carlo simulation (quantitative data)
- Content analysis (qualitative data)
- Narrative analysis (qualitative data)
This is just something that is considered to be the basis of data analysis. Pursuing further the students get to learn a lot about the subject in-depth and thus it becomes a difficult task to take care of grades amidst the pressure of examination and internships along with part-time jobs.
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