What are the methods used in data analysis?

Data analysis is the process of examining raw data to discover valuable insights and make informed decisions. The methods used in data analysis are diverse and include techniques for data pre-processing, data cleaning, data mining, statistical analysis, machine learning, visualization, and reporting. Data pre-processing involves gathering, integrating, and formatting data to extract meaningful insights. Data cleaning refers to the identification and removal of inconsistencies, errors, and missing values from data. Data mining involves extracting patterns and trends from large data sets, while statistical analysis involves applying statistical methods to extract information about the data set. Machine learning techniques enable computers to learn from data and predict future outcomes. Visualization techniques help to represent and visualize data to aid in understanding trends. The final step in data analysis is reporting, which involves summarizing and presenting the insights gained from the data analysis process.

This mind map was published on 6 May 2023 and has been viewed 120 times.