Data analysis is the process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, suggesting conclusions and supporting decision-making. Data analysts are responsible for collecting data from various sources and then using that data to help organizations make better business decisions.
The first step in the data analysis process is to inspect the data. This involves looking at the raw data to see if there are any errors or outliers. Once the inspection is complete, the next step is to cleanse the data. This involves removing any invalid or incorrect records from the dataset.
After cleansing, it is time to transform the data . This may involve converting certain fields into a different format or creating new fields based on existing ones. The goal here is to get the data ready for modeling. Modeling is where analysts use statistical techniques to find patterns within the data. These patterns can be used to make predictions about future events or trends.
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