Data sciences: Where shall I begin?
Python Statistics | Statistics, Python and Data science learning center
by Liki
2y ago
From my experience reading publications on many data sciences related groups on Facebook, this question is very frequently asked by users. The answers that are usually provided vary drastically from starting with Python or R programming courses, to taking some data sciences courses on YouTube, Coursera, etc. Little attention is paid to the background of the student. Generally, the responses tend to position Data Sciences as a programming or algorithmic field. In addition, I have seen all kind of questions based on visualizations and modeling results produced in Python or R. Many tend to show a ..read more
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Analysis of the prevalence of undernourishment in Africa and Asia using Python
Python Statistics | Statistics, Python and Data science learning center
by Liki
2y ago
In this article, I want to visualize the percent of undernourishment using data from the Food and Agriculture Organization of the United Nations (FAO). The visualization will be done using data about African and Asian continents. In each of the continent, we will also use the world undernourishment statistics across as a baseline reference point. According to FAO, “The prevalence of undernourishment is an estimate of the proportion of the population whose habitual food consumption is insufficient to provide the dietary energy levels that are required to maintain a normal active and healthy li ..read more
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Tests of statistical hypotheses in Data science with Python 3
Python Statistics | Statistics, Python and Data science learning center
by Liki
2y ago
Testing statistical hypotheses are an integral part of Data Science.  In my new course, I used real-world data sets to test parametric and nonparametric hypotheses using Python 3. The course has several strengths that should not be ignored. It is hands-on, uses real-world data and focuses on testing statistical hypotheses using Python 3. It is taught by an Adjunct Professor of Statistics who taught statistics for twelve years it is extensive and cover all aspects of testing statistical hypotheses using Python It uses Jupyter notebook and mark-downs to clearly document the codes and ..read more
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Data Visualization and Descriptive Statistics with Python 3
Python Statistics | Statistics, Python and Data science learning center
by Liki
2y ago
For those of you interested in learning how to leverage the power of Python Seaborn and Matplotlib libraries to build high-quality professional visualizations that answer many relevant Data Science questions, my new course entitled Data Visualization and Descriptive Statistics with Python 3  is the solution.  The course uses a set of real-world data sources from the United Nations, sport, government to showcase the visualizations.  In addition to data visualizations,  the second part of the course is focused on how to effectively analyze and compute Descriptive Statist ..read more
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BUG report in computing the median, median_high and median_low within the statistics library in Python 3
Python Statistics | Statistics, Python and Data science learning center
by Liki
2y ago
In this blog I discuss a bug that I found in Python 3.6.4 statistics module version 3.4 concerning the computation of the median, median_high and median_low function when missing values (NaN, nan) are present in the data. I reported this  bug to the Python team and had investigated it with different data, with all results pointing to a bug in the current version. You are invited to add your comments if you have any questions pertaining to this blog. View the code on Gist. The post BUG report in computing the median, median_high and median_low within the statistics library in Python 3 appe ..read more
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Exploratory Data Analysis of African migrants deaths in the world
Python Statistics | Statistics, Python and Data science learning center
by Liki
2y ago
For the last few years, migrants deaths have made the news headlines. The horror of many migrants dying in the Mediterranean sea trying to reach Europe in small boats has shocked many in the world and still is today a great concern for many nations. In this analysis, we showcase the distribution of sub-Saharan Africans migrants deaths in various parts of the world using data from the Missing migrants project. The analysis suggests that most of the Sub-saharan African migrant’s deaths occur in the Mediterranean sea.  In particular, the year 2016 registered over 5000 deaths.  ..read more
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Distribution of the World Cup soccer average attendance since 1970
Python Statistics | Statistics, Python and Data science learning center
by Liki
2y ago
In this analysis, we are looking at the World Cup average game attendance distribution.  We decided to restrict the data from 1970 onward to give an overall distribution of relatively current attendance data. The analysis proceeds with basic data manipulation in pandas. After the basic data manipulation, we use Seaborn to create the distribution.  From this analysis, we can see that the World Cup in the USA in 1994 has the highest attendance in modern days followed by the latest in Brazil, 2014. View the code on Gist.     The post Distribution of the World Cup soccer averag ..read more
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Histogram distribution of the World Cup 2014 number of passes attempted
Python Statistics | Statistics, Python and Data science learning center
by Liki
2y ago
In this analysis, we are creating a histogram distribution of the average number of passes attempted during the 2014 World Cup games in Brazil. The number of passes attempted during a game is an important measure of the team performance and control of the ball. Good team tend to pass the ball more, thus playing a most poised soccer game, whereas out of control teams tend to hurry the kicks. Germany and  Brazil in general are among the top teams that tend to make higher number of passes compared to other teams. View the code on Gist.   The post Histogram distribution of the World Cup ..read more
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Data sciences: Where shall I begin?
Python Statistics | Statistics, Python and Data science learning center
by Liki
3y ago
From my experience reading publications on many data sciences related groups on Facebook, this question is very frequently asked by users. The answers that are usually provided vary drastically from starting with Python or R programming courses, to taking some data sciences courses on YouTube, Coursera, etc. Little attention is paid to the background of the student. Generally, the responses tend to position Data Sciences as a programming or algorithmic field. In addition, I have seen all kind of questions based on visualizations and modeling results produced in Python or R. Many tend to show a ..read more
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