XLRI | Executive Development Program in Financial Analytics

Build successful financial models using analytics.

Course Snapshot
  • FeeINR 65,000 + Tax
  • Work Experience0 - 30 Years
  • Duration4 Months
  • Delivery MethodOnline
Course Detail

About XLRI
XLRI is one of India's leading management school based in Jamshedpur, Jharkhand, India. Established in 1949 as the Xavier Labor Relations Institute, by Fr. Quinn Enright, XLRI is acknowledged as India's oldest business management school.
XLRI with its single vision of Magis, i.e., pursuit of excellence, focuses on three areas: academic excellence, personal values and social concern. XLRI spares no effort to make its curriculum world-class and deliver it in the most effective manner. It constantly scans the developments in business and in society and tries to pro-act to meet the challenges. Its world-class faculty with its commitment and deep sense of service delivers the curriculum very effectively.

About Financial Analytics
Businesses in the industry understand the significance of deriving logical inferences out of it to streamline their decision making process. Lately, accurate financial data analysis is not enough for a business to sail through. They need predictive insights which can improve their real time day to day decision making. Financial analytics helps in combining internal and external financial 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.

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

Program Highlights
> Get Certified By XLRI: Obtain certificate of completion from XLRI
> Learn Powerful Tools Like R and Python: Practical knowledge to perform financial analysis using R and Python
> Thoughtful Mix of Theory and Practical Applications: Unfolds every aspect of theory & practical applications related to Financial Analytics
> Modelling Stock Prices Using Machine Learning: Stock market prediction or customer profitability, finance analytics helps in predicting all
> Hands-on Experience In Building Advanced Financial Models: This course prepares you to perform exploratory and predictive analysis in Finance
> Eminent Faculty of XLRI: Lectures imparted by top & experienced faculty

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

> Case study learning: Hands-on learning using case studies, projects and simulations
> Live & Interactive Digital Learning: Learn from anywhere
> Weekend Schedules: Learn without quitting your job
> Industry interactions: Interactive live sessions with Industry stalwarts
> Mobile platform enabled: Seamless learning on all screens; desktop, laptop, tabs & mobiles through app and browsers
> Classroom based learning: Interactive in session peer to peer and with faculty discussions for in-depth learning against isolated learning of recorded sessions

Desired Candidate Profile

> Education
- 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 & written is mandatory.
> Prerequisites
- Statistics/Mathematics as a subject up to Class XII.
- Some level of programming experience will be beneficial.
- Working professionals with a minimum of 2 years of work experience.

Course Modules

> Quick introduction to R and Python
> Most useful packages in Python and R
> Understanding data in finance, sources of data, cleaning and pre-processing data
> Exploratory Data Analysis
> Understanding stock price behaviour, time series analysis in finance
> Understanding and valuing options
> Modelling stock prices using machine learning
> Credit risk modeling
> News analytics (accessing news using web scrapping) and sentiment analysis in finance