FINANCIAL PROGRAMMING

At the end of the course, the student should be able to:
- be knowledgeable about the open source analytical tools in business
- detect the advantages and disadvantages of using an open source analytical tool
- be proficient in one of the most important open source analytical tool of data science: Python
- extract, manipulate, analyze, visualize and report financial data using Python
- know how to process data and prepare basetable for machine learning project using Python

These competencies and/or skills contribute to the following learning objectives
- 1.C Communicate effectively in English
- 3.A Breakdown complex organizational problems using the appropriate methodology
- 5.C Employ state-of-the-art management techniques
- 7.A Demonstrate an expertise on key concepts, techniques and trends in their professional field
- 7.C Effectively apply in-depth specialized knowledge to take advantage of contemporary opportunities in their professional field
- 7.D Be a reference point for expertise-related questions and ambiguities
.