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Udacity's Nanodegree program built in partnership with Kaggle and Mode that aims at training new Data Analysts mastering Python, R, SQL, and statistics to uncover insights, communicate critical findings, and create data-driven solutions.
An analysis of European soccer/football from 2008 to 2016 using a dataset from Kaggle. I employ different data wrangling techniques to clean and filter the data using Python and Jupyter notebook.
The main idea of this project is to research coronavirus cases in the US. Using various packages in R, implemented using Rstudio, further details are found neatly inside the .Rmd file
In this project, selected OpenStreetMap data was check for errors and correct them. Python data wrangling techniques and SQL quarrying techniques are used.
3rd Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Linear Regression & Data Preprocessing