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Heathcliff Nyambiya

Econometrician | Data Scienctist | Financial Engineering Candidate

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For each assessment, students must score 90% Learners use a dataset of 21,000 properties to determine if real estate prices are influenced more by property size or location. They import and clean data from a CSV file, build data visualizations, and examine the relationship between two variables using correlation. -Loaded data into a pandas DataFrame -Cleaned, combined messy data and and organized information using Python data structures. -Examined the relationship between variables using correlation. -Created insightful visualizations like histograms, boxplots, scatter plots, and bar charts.


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