Data Analytics using R on Financial modelling for BFSI teams

 

Summary

 

Program Objectives

 

  • Understanding machine learning basics
  • Apply the model on financial dataset
  • Interpretation of a financial model
  • Pushing data analytics beyond the capabilities of excel.
  • Automating mundane tasks to utilize time on more critical work and generate end reports including visuals.

Target audience

 

  • Participants working in excel operations on regular basis Financial / risk analysts
  • Portfolio managers
  • Quant research team
  • Economist in financial domains
  • MIS teams
  • Data analytics
  • Forecasting teams

 

Course Structure

 

Day 1 (duration 4 hrs)

 

Session 1: Basics of R Security ReturnsPortfolio Returns


Participants will be able to understand the various data types in R. Additionally you will be able to apply logical structure to the code and make R to repeat certain task multiple times. 


Day 2 (duration 4 hrs)


Session 2: Risk


Session 3: Risk Adjusted Portfolio Performance Measures


Participants will be able to make modular codes. Learn good practices and efficient ways to code using functions. They would be able to learn data manipulations which includes pivots, merge and many other excel like tasks. Data cleaning concepts would be introduced


Day 3 (duration 4 hrs)


Session 4: Fixed Income


Participants will be able to visualize the database. 


Participants would be required to install R and R studio in your system.


Trainer Profile

 

Trainer has a rich experience in data science and financial modelling areas. He is a versatile trainer equipped to handle topics like machine learning, programming languages in Python and R and market risk analysis. He is a engineer and MBA by education.

 

 

Training dates - June 13-15, 2023

Training fees - ₹ 18,000 + applicable taxes