Using Python and data science packages like Pandas, NumPy, matplotlib, Seaborn to process data and attempt to find insights.
Convert raw data to processed data by merging, finding outliers, errors, trends, missing values and distributions in the data.
Creating various data visualization charts using matplotlib.