Executive Development Program inFinancial Analytics from XLRIBatch - 2

ABOUT PROGRAM

Program Highlights

Nearly every industry is generating 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 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.

Certificate of Completion from XLRI.Perform data analysis on popular and sought after tools like Python and R.Learn practical approaches to build advanced financial models and perform exploratory and predictive analysis in Finance.Gain hands-on experience in building financial models through workshop style practical sessions.Course content and structure designed entirely by XLRI who bring to you a judicious mixture of finance theory and practical applications.Book and study material included.Lectures imparted by eminent faculty from XLRI.Fully Online Course with LIVE online interactive lectures that provides a “real” classroom experience in a “virtual” environment. No isolated learning experience.Seamless technology that can transmit lecture videos effectively at home broadband connection of 512 kbps. User friendly and easy to use technology interface. No expensive and time consuming software/hardware installations required at your end.Virtual classrooms that allow for active interactions with other fellow students and faculty.Convenient class schedules to suit working professionals.In the event that students miss attending the LIVE lecture on the Virtual Classroom for some reason, students can request “On Demand” access to the recorded session. TALENTEDGE’s Cloud Campus – Students on our virtual social learning platform are provided access to course presentations, projects, case studies, assignments and other reference materials as applicable for specified courses. Students can raise questions and doubts either real time during the live class or offline through the Cloud Campus.Learn from Anywhere – No need to travel to an institute or training center. Student may learn from the comfort of his/her home.

SYLLABUS

Quick introduction to R and Python

Understanding stock pricebehaviour, time series analysis in finance

Understanding data in finance, sources of data

Understanding and valuing options

Cleaning and pre-processingfinancial data

Forecasting stock prices using machine learning

Exploratory Data Analysisin Finance Credit risk modeling

Building Models using Accounting Data

News analytics (accessingnews using web scrapping) and sentiment analysis infinance

WHO SHOULD ATTEND

Finance professionals aspiring to enter into the field of application of analytics 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

PREREQUISITE

Statistics/Mathematics as a subject up to Class XIISome level of programming experience will be beneficial.

ELIGIBILITY

• 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.

• Working professionals with a minimum of 2 years of work experience.

EDUCATION

• Proficiency in English, spoken & written is mandatory.

WORK EXPERIENCE

ASSESSMENT & CERTIFICATION

PEDAGOGY

FACULTY

Prof. Pitabas MohantyProf. Pitabas Mohanty is a Fellow of the Indian Institute of Management, Bangalore. He was a Senior Visiting Scholar at Stern School of Business, New York University in 2009-10. A Gold Medalist in MA (Applied Economics), he is also a Chartered Financial Analyst (ICFA) and a cost accountant.

Qatar, and Kuwait in areas like Company Valuation and Financial Modeling. He is the co-author of books on ‘Investments’ and ‘Principles of Corporate Finance’ published by the McGraw Hill Education. He is actively into research in corporate finance and investments with many publications in books and referred journals. He has consulted a few companies in their valuation. He has won numerous awards at various research conferences

The primary method of instruction will be through LIVE lectures that will be beamed online via Internet to student desktops/laptops or classrooms. The pedagogy will comprise lectures by XLRI faculty and will be taught with the help of presentations, exercises and general discussions. Being an applied program, most of the sessions will be conducted as a work-shop. By the end of the program, the participants will be better able to use Python and R to build advanced financial models and perform exploratory and predictive analysis in Finance. All enrolled students will also be provided access to our SLIQ Cloud Campus through which students may access other learning aids, reference materials, assess-ments, projects and assignments as appropriate.

Throughout the duration of the course, students will have the flexibility to reach out to the professors, real time during the class or offline via our SLIQ Cloud Campus to raise questions and clear doubts.

A minimum of 70% attendance to the LIVE lectures is a prerequisite for the successful completion of this program. There are periodic evalua-tions built in throughout the duration of the program. These maybe in the form of a quiz, assignment, project or other objective/subjective assessments. The evaluations are designed ensure continuous student engagement with the program and encourage learning. Participants who successfully complete the same along with the requisite atten-dance criteria, an end program assessment and project work will be awarded a certificate of completion by XLRI. Participants who are unable to clear the evaluation criteria but have the requisite atten-dance will be awarded a participation certificate by XLRI.

PROGRAM DETAILSProgram Commencement : 02 February 2020Schedule of Classes: 3 hours every Sunday from 10.30 am to 01.30 pm IST Duration: 4 monthsFor Indian Participants: INR 70,000 + GSTFor International Participants: USD 1600Instalment options available

HOW TO APPLY

For admissions, students can register at : www.talentedge.com or at XLRI's website: http://sat.xlri.ac.in

Write in to - enquiry.dtd@talentedge.in or call at +91-8376000600 Talentedge, CBIP Building, 5th floor, Plot No - 21, Sector-32, Gurgaon - 122003

FOR MORE DETAILS