Define the objective
Identify the data sources
Collect the data
Clean the data
Remove duplicates
Handle missing values
Correct errors and inconsistencies
Organize the data
Explore the data
Summarize key variables
Calculate descriptive statistics
Visualize patterns and trends
Compare groups or categories
Test hypotheses
Identify correlations and relationships
Detect outliers and anomalies
Segment the data
Build models if needed
Validate results
Interpret findings
Draw conclusions
Communicate insights
Recommend actions
Review and refine the analysis