Data Analysis by Data Type

Data analysis is performed in many different fields and on many different types of data. Most fields call it something different. The following list comes straight from Jeff Leek’s Data Analysis Coursera class.

Name of Data Analysis by Data Type

The type of analysis is very similar for all fields, but what separates data science and machine learning from the others is the 3 V’s of big data. Data science and machine learning deal with a greater Volume of data, Variety of data, and Velocity (speed at which new data appears) of data. Because it is becoming cheaper and easier to store massive amounts of data than ever before, I think the other fields are beginning to realize the potential in big data. Signal processing is definitely becoming an area with big data, due to the fact that electrical sensors are everywhere.

What are your thoughts? Do you see any real differences in the data analysis performed for the data types above?

About Ryan Swanstrom

Creator of Data Science 101

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3 Comments on “Data Analysis by Data Type”

  1. Graph analysis has also been up and coming in the presence of online social networks such as Facebook, Twitter, and LinkedIn, and it is also relevant in certain areas of bioinformatics. Graphs are an extremely flexible structure that can be used to represent many things.

    1. Allen,
      I agree with you. Graph Analysis is definitely gaining some attention. After seeing your comment, a better title may have been “Data Analysis by Application Field”


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