Pallavi Desai

The data analytics process normally involves a number of main steps: Data Collection: Collecting data from different sources, including databases, surveys, or IoT devices. Data Cleaning: Eliminating inconsistencies, duplicates, or errors to maintain quality. Data Analysis: Applying statistical methods, coding tools, and software such as Excel, SQL, Python, or R to examine the data. Data Visualization: Displaying findings in the form of charts, graphs, and dashboards using Tableau or Power BI.