Stages of Data Analysis:
Once you have prepared the data, it is now ready to be used .
However, you need to look at the given questions, or challenges and organize the data in a way that can effectively answer those questions >> this is called Modeling.
The data modeling process often requires the data experts to liaise closely with the business experts, so that the data can answer those business questions.
For example, let’s say we collect the following data on you in this course:
If we want to answer the question: “how well are you doing?” – we would only look at your test scores data and would ignore your school and address.
You as the expert will need to have a good understanding of the challenges that LM13 is facing. You need to have a clear set of objectives that can guide you in how you model your data for your specific problem.
LM13 were given the following objectives from the Dystopia Government:
We will come back to these objectives in a later lesson.
Once you have modelled the data, you are now ready for the fun part of the process. Which is data analysis, or as I like to call it, generating information from the data.
Take the following two examples – which one do you understand better? Why?
Visualisation of Dataset
Naturally – seeing pictures of the data is easier to understand, remember and communicate. Let’s watch this video for more information on data visualisation.
Next up – let’s learn about our final stage of Data Analysis.