Python for Finance: Investment Fundamentals and Data Analytics

Course Overview

Do you want to learn how to use Python in a working environment? Are you a young professional interested in a career in Data Science? Would you like to explore how Python can be applied in the world of Finance and solve portfolio optimization problems? If so, then this is the right course for you! We are proud to present Python for Finance: Investment Fundamentals and Data Analytics – one of the most interesting and complete courses we have created so far. It took our team slightly over four months to create this course, but now, it is ready and waiting for you.   An exciting journey from A-Z.

Target Audience

• Aspiring data scientists
• Programming beginners
• People interested in finance and investments
• Programmers who want to specialize in finance
• Everyone who wants to learn how to code and apply their skills in practice
• Finance graduates and professionals who need to better apply their knowledge in Python

Learning Objectives

• Learn how to code in Python
• Take your career to the next level
• Work with Python’s conditional statements, functions, sequences, and loops
• Work with scientific packages, like NumPy
• Understand how to use the data analysis toolkit, Pandas
• Plot graphs with Matplotlib
• Use Python to solve real-world tasks
• Get a job as a data scientist with Python
• Acquire solid financial acumen
• Carry out in-depth investment analysis
• Build investment portfolios
• Calculate risk and return of individual securities
• Calculate risk and return of investment portfolios

Business Outcomes

• Python training
• Financial fundamentals training
• Python real-world applications