Live Master Class

Financial Analytics with Python


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About this session

Great Learning brings you this live session on “Financial Analytics with Python”. In this session, we will understand how banks and other financial institutions use predictive analytics for modelling their risk. Risk analytics has attracted a lot of attention in the wake of the recent financial crisis. With the help of risk analytics, we can answer questions such as "Can the banks predict when their loans would default?", "Can the banks estimate the aggregate default rate?", "What aggregate tools can be used in this pursuit?”, etc. In this session, we will understand two very important concepts in the field of banking which are market risk and credit risk. Going ahead, we will also understand how can we predict or prevent fraudulent transactions. Then, we will have a demo where we will understand the concept of market risk and credit risk with python. Finally, there will be a QnA session, where the attendees can ask queries related to whatever has been covered in the session.

About the Speaker

Mr. Bharani Akella

Data Scientist, Great Learning


Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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