Understanding the data science problem - Â solving approach
Data science is concerned with the processing and analysis of large quantities of data to create models that can be used to make predictions or otherwise support a specific goal. This process often involves the building and training of models. The specific approach to solve a problem is dependent on the nature of the problem. However, in general, the following are the high-level tasks that are used in the analysis process:
- Acquiring the data: Before we can process the data, it must be acquired. The data is frequently stored in a variety of formats and will come from a wide range of data sources.
- Cleaning the data: Once the data has been acquired, it often needs to be converted to a different format before it can be used. In addition, the data needs to be processed, or cleaned, so as to remove errors, resolve inconsistencies, and otherwise put it in a form ready for analysis.
- Analyzing the data: This can be performed using a number...
