Qualitative Data Analysis
The qualitative data analysis method derives data via words, symbols, pictures, and observations. The most common qualitative methods include: Content Analysis, for analyzing behavioral and verbal data. Narrative Analysis, for working with data culled from interviews, diaries, surveys. Grounded Theory, for developing causal explanations of a given event by studying and extrapolating from one or more past cases.
Quantitative Data Analysis
Hypothesis Testing, for assessing the truth of a given hypothesis or theory for a data set or demographic. Mean, or average determines a subject’s overall trend by dividing the sum of a list of numbers by the number of items on the list. Sample Size
Determination uses a small sample taken from a larger group of people and analyzed. The results gained are considered representative of the entire body.
Artificial Intelligence And Machine Learning
AI is on the rise and has proven a valuable tool in the world of data analysis. Related analysis techniques include: Artificial Neural Networks Decision Trees Evolutionary Programming Fuzzy Logic
Mathematics And Statistics
This is the technique where you find number-crunching data analytics. The techniques include: Descriptive Analysis Dispersion Analysis Discriminant Analysis Factor Analysis Regression Analysis Time Series Analysis