-Gather data from multiple sources such as databases, APIs, spreadsheets, or surveys
-Ensure data accuracy, completeness, and consistency
-Remove duplicates, handle missing values, and correct inconsistencies
-Convert raw data into a usable format for analysis
-Structure data for analysis using tools like Excel, SQL, or Python
–Use statistical techniques to identify trends, patterns, and correlations.
– Perform exploratory data analysis (EDA) to gain insights.
– Present findings using visual tools (e.g., charts, graphs, dashboards).
– Tools like Tableau, Power BI, or matplotlib/seaborn in Python are commonly used.
