Python for Financial Data Analysis (Intermediate)
In this quest, you will dive into the world of financial data analysis using Python. You will learn how to manipulate, analyze, and visualize financial datasets to extract meaningful insights. The quest covers key libraries such as Pandas for data manipulation, NumPy for numerical analysis, and Matplotlib and Seaborn for data visualization. By the end of this quest, you will be able to apply these skills to real-world financial scenarios, enabling you to make data-driven decisions. You will also explore how to ingest data from various sources, including APIs and CSV files, and practice creating informative visualizations to present your findings effectively.
• Understand the fundamentals of financial data structures and formats.
• Utilize Pandas for data manipulation and cleaning.
• Implement data visualization techniques using Matplotlib and Seaborn.
• Analyze financial datasets to derive insights and trends.
