For the movie correlation project in Python, the main objective was to look at the correlation between two columns from the table. I used the scatterplot chart to show this correlation. I used seaborn and matplotlib to showcase different scatterplot charts. I also tested out the different correlation methods and also plotted a correlation matrix.
For the COVID Project in SQL, there were two tables to look at - COVID deaths and COVID vaccinations. I looked at total cases vs total deaths in the USA in the COVID deaths table. I also looked at the number of countries with the highest death count per population from the COVID deaths table. I joined both tables and looked at total population vs the number of vaccinations.
For the Nashville Housing Project in SQL, I separated an address column into 3 more columns to show address, city and state. I updated the table to show the newly added columns. I also removed null values from the table and removed duplicates.
For the Excel Project, I practiced using formulas like vlookup, concatenate, mid, left and IF statement. I created two pivot tables and created graphs. I also solved two problem questions.
For this project, I used Pandas specifically. I used groupby for the data, filtered the data and sorted the data using various formulas.