Finance Data Analysis

Unlocking Financial Insights through Data Analysis

This finance data project is centered around conducting exploratory data analysis on stock prices, primarily aimed at honing your skills in data visualization and using the Pandas library. The primary objective is to provide an opportunity for hands-on practice in working with financial data.

Specifically, the analysis will concentrate on bank stocks, tracking their performance over a significant period, from the onset of the financial crisis up until early 2016. This timeframe encompasses a pivotal period in the financial world and offers valuable insights into how bank stocks were affected during this period of economic turbulence.

Through this analysis, you will gain valuable experience in extracting meaningful information from financial datasets, creating informative visualizations, and utilizing Pandas to manipulate and explore the data effectively. This project serves as an ideal learning exercise for those looking to develop their proficiency in financial data analysis and visualization techniques.

• Data Analysis
• Python
• Pandas
• Numpy
• Matplotlib
• Seaborn
• Plotly
• CuffLinks