Data collection: Gathering relevant data from various sources such as databases, surveys, experiments, or social media platforms.
Data cleaning: Identifying and correcting errors or inconsistencies in the data, such as missing values, outliers, or duplicates.
Data transformation: Converting the data into a suitable format for analysis, such as aggregating, filtering, or grouping data.
Data analysis: Applying statistical or machine learning techniques to extract insights from the data.
Data visualization: Communicating the results of the analysis through graphs, charts, or other visual aids.