Performing high level of data analyses from gathering and extracting data from multiple sources with different formats, storing them in accessible and easy formats or in data frames, cleaning it by checking missing data or duplicates and more, analyzing and exploring data and finding patterns in the dataset to creating visualizations and dashboards to give insights and support business decision making. The primary tool used for doing so it using Python and the necessary libraries like Pandas, Numpy, Matplotlib and more in order to get the job done. Also the use of Jupyter Notebook is important to enter codes and present data in an effective manner and creating Markdowns to illustrate what is going on for the ease of understanding. The service also includes creating reports showing what was done and what insights and conclusions we have come up with.