Python is a programming language that is widely used in many fields, besides Java, C++, and R,… Python’s applications can be mentioned as: building websites, building software, and applications in finance and banking.

One of the key benefits of Python is the processing and analysis of massive banking and financial data: set up and run models, find data, analyze metrics, and visualize by pictures. In addition, using Python in finance can train machine learning systems to collect information about a company’s statistical data to predict financial situations, and assess investment risks; as well as build application software in banking, and electronic transactions,…

In the financial industry in particular and data science in general, the fact is, in every model development team, it is necessary to develop two pillars, the Feature Store and the Modeling Pipeline. However, in Vietnam, very few modeling groups or data science groups develop these two pillars synchronously. One of the main reasons is lack of programming skills. In addition, the standard data science industry is still lacking and the training program is not close to reality.

Therefore, this 5-session course will equip students with the necessary skills and knowledge so that students can have the foundation to meet the practical needs of enterprises in creating Machine Learning flows. modeling pipeline, Python language application and library development on Github.

– Equip hands-on skills in programming with Python and Git

– Develop own libraries, like Sklearn, Pandas, Numpy, etc libraries. on Github and share to multiple users.

– Experience a programming team environment (closer to the data science team model in the enterprise)