Applied Finance in Python Traineeship is a self paced 4 week Industrial Training program with mentorship support.
Enhance your Python financial skills and learn how to manipulate data and make better data-driven decisions.
You’ll begin this Traineeship by discovering how to evaluate portfolios, mitigate risk exposure, and use the Monte Carlo simulation to model probability. Next, you’ll learn how to rebalance a portfolio using neural networks. Through interactive coding exercises, you’ll use powerful libraries, including SciPy, statsmodels, scikit-learn, TensorFlow, Keras, and XGBoost, to examine and manage risk. You’ll then apply what you’ve learned to answer questions commonly faced by financial firms, such as whether or not to approve a loan or a credit card request, using machine learning and financial techniques. Along the way, you’ll also create GARCH models and get hands-on with real datasets that feature Microsoft stocks, historical foreign exchange rates, and cryptocurrency data. Start this track to advance your Python financial skills.
⇩ What we cover in 4 weeks.
Week 1 – 3
Introduction to Portfolio Risk Management in Python
Quantitative Risk Management in Python
Credit Risk Modeling in Python
GARCH Models in Python
Certificate of Completion
Letter of Recommendation
Complete this course while you work
Rigorous curriculum designed by industry experts
Best performers will also be offered a job within the company.