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Then, **_transforming the data_** might involve converting data types, creating new variables, or aggregating data into more useful forms. Now you're ready to dive into **_data modeling_**, where you apply statistical and machine learning techniques to uncover relationships and make predictions. This is where the magic really starts to happen, you can find trends, patterns and even make predictions. Finally, you have **_data interpretation_**, where you make sense of your results, draw conclusions, and communicate your findings to others. Throughout this whole process you have to **_report the findings_**, which could be in the form of graphs, charts, and detailed reports.