Ever since I started studying Finance and Investment in college I enjoyed the financial analysis part the most and became more interested in data analysis in general. So, I began by enrolling for CFA to better understand the right basics for the best practices of financial analysis globally, still studying more and more about financial analysis and modeling. After that I've found that the labor market needs a person who can execute all their studies and knowledge using new technologies and computer languages not just theoretically. That’s why I began my journey with forecasting and analysis using Excel, and Python to learn how to manipulate, analyze and communicate the results in appropriate manner. So, I enrolled in Udacity's Data Analysis Nanodegree and gained a great knowledge and practical insights on analyzing data and coding, still looking forward to completing all CFA levels and gain more knowledge about coding and analysis in general.