Data Science, Data Analytics, and Data Professionals in General

Data Science, Data Analytics, and Data Professionals in General

5 Posts · 13 Articles

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For some people data is just something geeks deal with, or just ones and zeros for the computers to crunch. For some oth ... See more
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group_work in Data Science, Data Analytics, and Data Professionals in General

In Praise of the Data Engineer

Source: LibreOffice Draw & pixabay.com · This article is partly inspired by Ken Boddie's article about the various types of engineers and partly from one of the great quotes in Fay's latest article. · The data engineer is the unsung hero of data science. He (that role is usually ...

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group_work in Data Science, Data Analytics, and Data Professionals in General

In the beginning, there was chaos (probably due to some politician). Then data came about. Afterward, data scientists came to be, so that some sense can be made out of all this…

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group_work in Data Science, Data Analytics, and Data Professionals in General

Summing Up the Data at Hand (Sampling Data Optimally)

Source: pixabay.com · Summarizing information is one of the most fundamental processes of a sentient being. You'd think that we'd have figured out how to automate this process in the data world by now, creating a reliable summary of a dataset for further analysis. After all, with ...

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group_work in Data Science, Data Analytics, and Data Professionals in General

Key Characteristics of a Data Science Ready Organization

Source: pixabay.com · Throughout my career, I've worked with various organizations, from one that I'm not at liberty to talk about (it was via Georgia Tech) to others that I'd rather not talk about since their presence is an insult to data science itself! Of course, many of the o ...

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group_work in Data Science, Data Analytics, and Data Professionals in General

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Quick question: what's you biggest pain point in your line of work, related to data?

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Engineer vs. scientist: what is the difference?

Further to @Ken Boddie 's article on engineers : · Some people say there is no difference between a scientist and an engineer, while other people think the two careers are totally separate from each other. Scientists and engineers often have strong opinions about what they do, wh ...

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Modern Abaci for Modern Times

Source: pixabay.com · This article is inspired by Ken's interesting article on the various kinds of Engineers (sens data engineers, who are covered in one of the comments). This article spawned a great discussion which at one point veered towards the abacus as an instrument for t ...

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group_work in Data Science, Data Analytics, and Data Professionals in General

Data Literacy in the Age of Data Analytics

Source: pixabay.com · It was about thirty years ago when an uncle of mine, who was around 70 at the time, asked my older nephew (who was one year older than me), to explain to him computers. His rationale was that in the year 2000, anyone who doesn’t understand computers would be ...

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group_work in Data Science, Data Analytics, and Data Professionals in General

Testing a Hypothesis with BROOM

Source: pixabay.com · In data analytics and data science, we often need to test a hypothesis. This is usually a tiresome and confusing process, particularly to those new to the craft. Although formulating a hypothesis (and the corresponding null hypothesis) isn't that hard, testi ...

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group_work in Data Science, Data Analytics, and Data Professionals in General

Towards a New Kind of Statistics for Data Science and Beyond

It's not as fancy as a vacuum cleaner, but it does the job! · Source: pixabay.com · In a previous article, I talked about the limitations of Statistics and how they hinder data science work. Naturally, all these shortcomings also make the whole framework of Stats vulnerable to an ...

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Geometric Shape as a Metaphor for My Life

Geometry is all around us, and we are surrounded by myriads of geometric forms, shapes, and patterns. Every living organism and all non-living things have an element of geometry within. · The above quote is from my article · Geometry, All Around Us, · which I wrote almost five ye ...

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group_work in Data Science, Data Analytics, and Data Professionals in General

It's funny how a Bayesian Statistician and a Machine Learning expert can talk for hours and find that they agree on more things than not. Yet, a classical (Frequentist) Statistician is bound to enter an argument with a Machine Learning expert in no time…

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