Blog Archives

A journey into the unknown with Tech Leaders

In my previous post I mentioned that I got into Tech Leaders program. Now, after a few months I would like to relate my experiences of doing something unbelievable, which I’ve never thought I will be able to do. Tech

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Posted in learning

I’ve got a new job #2

After several general comments I would like to present a small report on the whole recruitment process. I’ve sent 77 applications during 1.5 month. It gives about 1.8 application daily. This result can be improved at the next opportunity. Applications

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Posted in career

I’ve got a new job!

For the last 2 months I was looking for a new job. This time abounded in motivational and didactic experiences. I’ve noticed, that in the past few years when I had a job and I didn’t take part in recruitment

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Posted in career

My Top Statistics Blogs

I have many blogs in my Reeder application (I recommend!). Most of them are about new technologies, outdoor sports, cosmetics for babies and mothers… But I want also read something about statistics systematically. This is a list of my personal

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Posted in data analysis, learning

Statistics in Python: Measures of Dispersion

In this article I would like to concentrate on 4 main measures of statistical dispersion: range (and the biggest and the smallest number as well), average deviation, variance and standard deviation. In Python, we can easily compute them with a

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Posted in data analysis, python

Statistics in Python: Central Tendency

In the central tendency there are 3 most common measures: mean (arithmetic average), median and mode. Their manual calculation in Python is presented below. Mean Arithmetic mean is a sum of a collection of numbers divided by the total number

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Posted in data analysis, python

Statistics in Python: Frequency Distribution

Previous articles concentrated on managing and visualizing data with numpy and mathplotlib.pyplot libraries. Now, it is time to count more statistics, but manually, without built-in functions. For the beginning, let’s write some code to show a frequency distribution of the

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Posted in data analysis, python