Archive for January, 2016

Data Analytics Simplified – A Tutorial,  Part 1

By Kato Mivule  

Keywords: Data Science, Data Mining, and Data Analytics 


Data Analytics



  • Is it Data Science, Data Mining, and Data Analytics? All mean the same thing. There is a big craze with the term “data science” but there is not that much difference between a data mining, data analytics, and data science.
  • I prefer the term “data analytics”; in my opinion it carries less pomp and actually infers someone given to the serious science and art of meticulously discovering and extracting meaningful knowledge and wisdom from data and information.
  • I use the term “meaningful” in this regard since each company or entity for that matter seeks to extract information patterns or knowledge from a particular domain that is meaningful and useful to that particular organization. For example, law enforcement and local grocery stores might derive different patterns of information from car traffic data.
  • The goal of this tutorial is to provide a simplified and demystified understanding of data analytics a.k.a. data science, and provide examples that anyone can implement of their own.
  • The quantity of data is only increasing to the point that most of that data goes unprocessed – without anyone actually finding out what such data means.
  • Today folks are talking about big data – referring to extremely large quantities of data, and dark data referring to data that remain unprocessed, with no knowledge or information extracted from it.
  • The need for individuals who can extract information, knowledge, and wisdom from such data is a huge need and will remain so for the foreseeable future. We hope this set of tutorials provides a quick and simplified way to learn and apply data analytics skills to extract knowledge and wisdom from a diverse set of data domains.


  • Although I will consider other resources, for this tutorial, I shall use as the textbook, “Data Mining: Introductory and Advanced Topics”, by Margaret H. Dunham, Prentice Hall, 2003, ISBN: 0-13-088892-3.

What is Data?

  • Merriam-Webster – data are facts or information used generally for calculations, analysis, and planning [1].
  • Wikipedia – data are a collection of unorganized symbols, such as, alphabets, numbers, and images [2].

What is Information?

  • Merriam-Webster – Information is knowledge, facts, or details collected about something [3].
  • Wikipedia – Information is an organized collection of data – symbols, alphabets, numbers, and images, to inform [4].

What is Knowledge?

  • Merriam-Webster – Knowledge is the totality of what is recognized in terms of fact, information, and ideas learned by humanity [5].
  • Wikipedia – Knowledge is an understanding of someone or something based on facts, information, descriptions, or skills, acquired through learning [6].

What is Wisdom?

  • Merriam-Webster – Knowledge that is achieved through various experiences in life and philosophic learning [7].
  • Wikipedia – Wisdom is the skill and ability to reason and then take action based on facts, information, knowledge, experience, and understanding [8].

Data Analytics

  • Data analytics is the process of using computation systems and statistics to find meaningful unknown information patterns in data [9] [10].


[1] Wikipedia, “Data”, Accessed January 25, 2016, https://en.wikipedia.org/wiki/Data
[2] Merriam-Webster, “Data.” Merriam-Webster.com. Merriam-Webster, n.d. Web. 29 Jan. 2016. <http://www.merriam-webster.com/dictionary/data&gt;.
[3] Merriam-Webster, “Information.” Merriam-Webster.com. Merriam-Webster, n.d. Web. 29 Jan. 2016. <http://www.merriam-webster.com/dictionary/information&gt;.
[4] Wikipedia, “Information”, Accessed January 28, 2016 https://en.wikipedia.org/wiki/Information
[5] Merriam-Webster, “Knowledge.” Merriam-Webster.com. Merriam-Webster, n.d. Web. 29 Jan. 2016. <http://www.merriam-webster.com/dictionary/knowledge&gt;.
[6] Wikipedia, “Knowledge”, Accessed January 28, 2016      https://en.wikipedia.org/wiki/Knowledge
[7] Merriam-Webster, “Wisdom.” Merriam-Webster.com. Merriam-Webster, n.d. Web. 29 Jan. 2016. <http://www.merriam-webster.com/dictionary/wisdom&gt;.
[8] Wikipedia, “Wisdom”, Accessed, January, 28, 2016, https://en.wikipedia.org/wiki/Wisdom
[9] Margaret H. Dunham, “Data Mining: Introductory and Advanced Topics”, Prentice Hall, 2003, Page 3.
[10] Thomas A. Runkler, “Data Analytics: Models and Algorithms for Intelligent Data Analysis”, Springer Science & Business Media, 2012, Page 2, ISBN: 9783834825896

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