Data Analyst Portfolio Project: Exploratory Analysis With Python Pandas| Beginners| Risk Analytics

Sorry, guys, I forgot to demonstrate how to push this project to GitHub. The next project will definitely include this. I'm also working on a tutorial on how data analysts and data scientists can use GitHub. Project Description Unlock the fundamentals of data analysis with this beginner-friendly tutorial focused on financial risk analytics. In this project, you'll learn how to leverage Python Pandas to clean, explore, and visualize loan data. We’ll guide you step-by-step through data cleaning processes, uncovering insights, and generating key visualizations using Seaborn. By the end of the tutorial, you'll have hands-on experience conducting an exploratory data analysis (EDA), identifying trends and patterns in loan data to assess financial risk—perfect for building your data analyst portfolio! Project Notebook - https://colab.research.google.com/drive/1UkVckrjyIWARaS5g6w_Q0z__dFz_aBvA#scrollTo=2RgZ05SeVsTr