Students-Performance-in-Exams

• Data analysis conducted on the datset found on Kaggle Dataset
• This dataset is great for begginners for the data doesn't contain too many rows & columns, so you can focus on the analysis as well as its process.
• That means if you're looking forward to getting your hands dirty just on the data cleaning/manipulation part, you might be disappointed. This analysis contains some data cleaning/manipulation part though.
• You can see the code here on Kaggle Notebooks as well.

Step 1 - Exploratory data analysis

• Programming language used: Python (Pandas, Matplotlib, and Seaborn).
• Written in Google Colab Notebook.
• Some data cleaning/manipulation was done utilizing Python Pandas library. And correlation analysis was done using data visualizations with seaborn library.

Step 2 - Statistical analysis

• Coming soon

Step 3 - Building a predotive model

• Coming soon