Cleaning Data in SQL
Using SQL queries, we employed data cleansing techniques such as removing duplicate entries, correcting inconsistencies, and standardizing formats to ensure the housing data was thoroughly cleaned and prepared for analysis.
Data Analyst skilled in SQL, Python, and Tableau with projects showcased on Github. Check out my LinkedIn to learn more about me!
Using SQL queries, we employed data cleansing techniques such as removing duplicate entries, correcting inconsistencies, and standardizing formats to ensure the housing data was thoroughly cleaned and prepared for analysis.
We used SQL to explore a COVID-19 dataset, performing data transformations, aggregations, and calculations in preparation for building a dashboard.
Using Tableau, we generated visualizations depicting infection rates, global statistics, and predictive visuals, providing comprehensive insights into the COVID-19 data.
Using Python libraries such as Pandas, Seaborn, NumPy, and Matplotlib, we explored a movie dataset, calculated correlations, and generated visualizations to gain insights into the relationships between various variables.