Data analysis using Python programming

Data cleaning and preprocessing

drop unimportant columns and drop duplicates

Data Handling

• Reduce the number of specializations. By using the logic, put every specialization into a category called "other", if the specialization is below 10
• Identify the outliers by scatter plot
• Assign null values with their mean values

Data visualization

perform by,

• histogram
• scatterplot
• count plot
• pie chart
• heat map-represent the correlation between variables