Week 8 Recap

This week we solidified our knowledge on how to complete a data analytics process. We went through exactly what our steps should be and what different aspects go into those steps. First off when you are presented with data, you need to be able to communicate with the analysts in a way that they understand. In order to do so you  have to first know exactly what the problem at hand is and come up with a research question that clearly states what your end goal. The next step would be to clarify what data you need and where you are going to go to get that data. In the class situation we already were provided the data so now we had to organize the data and see exactly what kind would be useful. After you then have to analyse the data by looking at the variables and coming up with facts and findings. After this you know have to turn those findings into insights that ultimately answer your research question. This process involved a lot of work as well as studying. In class we also looked at the data we were given and then had to create those insights from the data. We looked at categorical data (frequency), continuous data (descriptive), and then correlation data. All of these types of data can be read in different ways a generate may different insights. You have to be able to interpret them correctly tho to transfer the data into effective insights. Looking deep into data is vital because this is where you find out whether your data is relevant or consistent. If it is not then this data is not useful but if it is then you can run with it. This whole process is very important in getting an adequate analysis that will ultimately solve a task at hand.

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