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Posed several questions about the Titanic dataset, then used NumPy, Pandas, SciPy and Matplotlib to answer the questions based on the data and created a report to share the results.
Investigated a dataset from PROSPER lending platform using R and exploratory data analysis techniques, exploring both single variables and relationships between variables.
Used data munging techniques to assess the quality of Liverpool OpenStreetMap dataset for validity, accuracy, completeness, consistency and uniformity. (Python, SQL, data verification, data cleaning)
Created a data visualization tableau story that compares the stats of the Milwaukee Bucks 17/18 team with teams that managed to win a playoff series in the last decade.
Analyzed the Stroop effect using descriptive statistics to provide an intuition about the data, and inferential statistics to draw a conclusion based on the results.
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