Data Analysis is performed using both Python and R languages Services offered : -Gathering raw data from different sources -Assessing and Cleaning datasets -Full analysis for datasets using statistical methods and visualization Gathering data includes importing data from websites, file extensions such CSV, TSV, TXT, in addition to JSON files and Twitter data. Assessing data includes inspecting datasets to find quality and organization issues. Assessment is done visually and programmatically to ensure that the data is correctly assessed. Identifying problems in datasets is a significant step in data analysis as mistakes such as typos or wrong datatype could lead to inaccurate analyses or wrong perception of the data. Cleaning data includes solving the quality and tidiness issues of the datasets, the purpose of cleaning is to make the dataset ready for calculations, statistical analysis, visualization, and machine learning The Data is analyzed programmatically using the built-in functions and plotting tools Python, insights about the data and visualization of the correlations in the dataset will be provided for the user/reader to understand the data and the correlation between its variables.