1- Analyze data using Jupter Notebook
2. Data cleaning and encoding with NumPy and Pandas libraries
3- Basic statistics including central trend calculation and variance in deep statistical analysis such as trend analysis
4. Explore the data and find different patterns and visualizations in it to draw conclusions using libraries such as Matplotlib and Seaborn