Types of Data Analysis: Methods and Techniques.

Data Analysis is the cleansing process, transforming and modelling/visualizing for accurate results for business purposes. There are various types in Data Analysis,

• Descriptive analysis: It is also renowned as Statistical analysis, which describes the data set’s statistical techniques. Tracking the student’s progress through Online learning grade systems.
• Predictive analysis: Based on the report or cleansed dataset, analyze the data for future purpose. It is based on the organization previous outcomes, predicting the future inputs and its results.
• Inferential analysis: Obtaining the random results from the set of samples to determine the population. ANOVA, T Test are the primary examples for Inferential analysis.
• Exploratory analysis: Based on all the above methods, Finally, EDA is done by all the preprocessing requisites. EDA will be implemented to manipulate the large number of data sets. Block graphs and Line graphs are examples for EDA.

REFERENCE:  https://doi.org/10.1002/mas.21602