new Python for finance course!

If you're ready to apply your Python skills to financial data, this is the course for you! Learn how to move data between Excel and pandas, extract data from APIs, calculate returns, analyze stock performance, and more. [DataCamp]( New Python Course! [Financial Data in Python]( Importing & Managing Financial Data in Python Taught by Stefan Jansen, Founder & Lead Data Scientist at Applied Artificial Intelligence If you want to apply your new 'Python for Data Science' skills to real-world financial data, then this course will give you some very valuable tools. Learn how to move data between Excel and pandas, extract data from APIs, calculate returns, analyze stock performance, and more. [Play now ›]( Importing & Managing Financial Data in Python: What You'll Learn Chapter 1: Importing stock listing data from Excel Learn how to import, clean and combine data from Excel workbook sheets into a pandas DataFrame. Chapter 2: Importing financial data from the web This chapter introduces online data access to Google Finance and the Federal Reserve Data Service through the pandas DataReader. Chapter 3: Summarizing your data and visualizing the result Learn how to capture key characteristics of individual variables in simple metrics. Chapter 4: Aggregating and describing your data by category Compare company statistics for different sectors and IPO vintages, analyze the global income distribution over time, and learn how to create various statistical charts. [Play Now ›]( DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02140 [Unsubscribe](