Foundations: Data, Data, Everywhere
Summary of a course by Google for Data Analytics Professional certificate. For me, the course is well structured and really gives me a strong foundation about data analysis. It enriches a corporate financial analyst, like me, who has been working for years in a corporation. Therefore, I write this article in order to make this valuable theoretical knowledge stick to my mind.
Data analysis is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making. It has a process which has 6 phases, they are : ask, prepare, process, analyze, share, and act. Following is the summary of each phase of the processes.
Data analysis is part of data analytics. It looks like a word play, right? Apparently not, it has own meaning. Data analytics has broader meaning and definition than data analysis. It is a science of data. Therefore, it covers area of data analysis, data ecosystem, and machine learning.
“If you want to make a few important decisions under uncertainty, that is statistics. If you want to automate, in other words, make many, many, many decisions under uncertainty, that is machine learning and AI. But what if you don’t…
