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XLRI | Executive Development Program in Financial Analytics

Hands-on Experience in Building Advanced Financial Models

Course Snapshot
  • FeeINR 1,00,000 + GST
  • Work Experience2 - 30 Years
  • Duration7 Months
  • Delivery MethodOnline
Course Detail

Program Overview
Nearly every industry is generating a vast amount of data and nearly every business leader today understands the importance of making sense out of that data to drive business strategy. Companies need more from finance than just accurate financial statement analysis. They need predictive insights which can improve their real-time day to day decision making. Finance analytics enables to combine internal financial information with external information by using social media and big data to provide predictive insights. Whether it is with respect to stock market prediction or customer profitability, finance analytics enables to provide a direction in predicting all.

This course blends easy-to-use statistical tools with complex machine learning tools and algorithms to equip the participants with the requisite skill sets in analyzing data. By the end of this course, the participants should be able to perform the required financial analysis using powerful tools like R and Python.

Who Should Attend
● Finance professionals aspiring to learn the application of analytical tools in Finance
● Practitioners whose role requires dealing with voluminous and complex financial information
● Analysts who need to deploy tools to aid in the financial decision making process

Program Highlights
● Certificate of Completion from XLRI
● Learn Powerful Tools like R And Python
● Eminent Faculty of XLRI
● Hands-on Experience in Building Advanced Financial Models
● Modelling Stock Prices using Machine Learning
● Thoughtful Mix of Theory and Practical Applications

Desired Candidate Profile

● For Indian Participants - Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline
● For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country
● Proficiency in English, spoken and written, is mandatory

Course Modules

● Introduction to the Course, Installing the software
● Introduction to R
● Introduction to Python
● Introduction to Finance
● Accounting Data Analysis
● Understanding data in finance, sources of data, cleaning and pre-processing data
● Understanding Machine Learning
● Building Models Using Accounting Data
● Fraud Analytics
● News Analytics and Sentiment Analysis
● Valuation Analytics
● Time Series Analysis in R/Python
● Understanding stock price behaviour
● Introduction to Technical Analysis
● Back-testing Trading Models
● Valuation of Options
● Portfolio Analytics
● Building stock prices forecasting models using Machine Learning and Deep learning