Overview of Data Analysis
Until now, we have been discussing data analysis primarily through data presentation, such as presenting data in graphs, charts, and other visuals. We also talked about dashboards and different ways to organize these visual presentations. In this unit, we will look at an entirely new level of data analysis. In addition to viewing and presenting data visually, you can process it using analytic techniques. These techniques could include statistical analysis, forecasting, and various specialized mathematical methods for modeling and analysis. This approach and these techniques are collectively called data science, and practitioners are called data scientists. One of the most common things these data scientists do is create models. Models are a representation of reality, and they allow us to test different scenarios and explore different situations. Financial modeling was one of the earliest uses and is quite well understood. But think about other kinds of models. What models do you use in your work? How do you use them?
Source: Yann_The_Man, https://www.youtube.com/watch?v=COPS92bgMwI
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