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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery	Frequency Of Classes
English	Self Study, Virtual Classroom, Campus Based/Physical Classroom	Video and Text Based	Weekends

Course Overview

The modern era of business calls for the latest business tools to deal with the dynamic nature of the corporate world. The finance field is no exception to the changing needs. The conventional methods of the department of finance are no longer suitable and thus calls for financial analytic techniques with the advent of modern business models.

Financial analytics practices allow an enterprise to make smart choices regarding the usage of resources in an optimum manner and to improve company sales. It helps the enterprise to identify potential targets for business and plays a critical role in the process of decision-making.

EDP in Financial Data Analytics is focused to obtain in-depth knowledge of specialised strategies that will allow the candidates to quickly and structurally overcome the complicated financial struggle. Financial modelling modules introduce the students to study analysis of financial statements and their interconnections, scrutiny of equities and bonds, evaluation of firms and their shares, analysis of basic portfolios, modelling related to project finance and risk and return.

The Highlights

4 months course duration
Case study method of learning
Visits to campus
Certificate on completion of the course from IIM Kashipur
Special lectures by experts from Industry
Classes on weekend

Programme Offerings

live sessions
Online Classes
self paced
campus learning
Projects
quizzes
assignments
project work

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIM Kashipur

The Fee structure for Financial Analytics Programme is given below:

Indian students need to pay Rs. 60000 plus GST
International Students need to pay US Dollars 1500
18% GST
An application fee of Rs. 500 needs to be paid

Executive Certification Programme in Data Analytics Fee Details:

Head	Indian Students (without GST)	International Students
Programme Fees	Rs. 60000	US Dollar 1500
1st Installment	Rs. 20000	US Dollar 500
2nd Installment	Rs. 20000	US Dollar 500
3rd Installment	Rs. 20000	US Dollar 500

Eligibility Criteria

Working Experience:

Candidates applying for this programme must have a minimum experience of two years which is a prerequisite. On special grounds experience, less than a span of two years can be considered.

Education:

For Indian Students, having a graduate degree from universities that are recognized (state government universities/AICTE/AIU/UGC/DEC) in any field along with Statistics or Mathematics up to Senior Secondary.

For International Students, holding a Graduate Degree or a degree of equivalent value from the institutions or universities recognized in the country to which they belong to.

Candidates should be able to speak and write the English Language Proficiently.

Familiarity with MS Excel along with knowledge of any kind of statistical package.

Certification Qualifying Details:

Following is the pattern on which the students will be assessed and awarded the certificate

Assessment Pattern:

Parameter	Weightage
Assignment	20%
Quiz	20%
Exam	60%
Total	100%

A verified certificate will be awarded to a student after completing the course. A Final Examination will be held by Nulearn as the last part of the course. Also, candidates need to complete 50 hours of online programme successfully.

What you will learn

Financial Management

After pursuing the Financial Analytics module from Nulearn candidates would gain knowledge of:

Smart Decision making on Financial Matters
Able to solve complicated problems in an organised manner
Aspects of Financial Modelling
Dimensions of Project Financing
Basic insights of Portfolio analysis
Learning through case studies equivalents to actual situations
Problem-solving and optimum utilisation of the available resources with the help of Financial Analytics Tools

Who it is for

Financial PlannerFinancial AdvisorFinancial AnalystFinance Executive

The programme is ideally suited for:

Entrepreneurs
Finance Managers

Admission Details

To apply for this programme, candidates need to follow the below-mentioned steps:

Step 1: Visit the Course Url.

Step 2: Click on Apply Now Tab

Step 3: Fill in the form to register. The email will be verified.

Step 4: Then the candidate needs to pay the application fee

Step 5: The candidate needs to fill in the application form

Step 6: Then the CV needs to be uploaded. The profile will be screened. The selected profiles will be given LOI. Then selected candidates will pay the fees.

The Syllabus

Balance Sheet, Income Statement, Cash Flow Statement, Understanding the Financial Statements and their interlinking, Financial Ratios, Ratio Analysis.
Hands-on in Excel

Present Value (single and multiple cash flows), Future Value (single and multiple cash flows), Annuity, Perpetuity, Growing Annuity. Application: Loan Amortization, Compounding the interest rate.

Return, risk, risk premium, Markowitz Portfolio Theory (two-assets and multi-assets portfolio), Minimum variance portfolio, efficient frontier, Capital Market Line

Valuation of bonds, analysis of risk in bond including duration and convexity

Security Market Line (CAPM) (Cost of equity), Analysis of Beta, Weighted Average cost of capital (WACC).
Free Cash Flow to Equity (FCFE), Free Cash Flow to the firm (FCFF), Discounted cash flow approach to equity and business valuation.
Dividend discount model, return on equity, cost of equity (Gordon-Growth model).
Relative Valuation approach to valuation.

Historical Simulation, Simple Variance based approach, RiskMetrics, Monte Carlo Simulation

Modigliani-Miller Theorem (with and without Taxes) Financial Distress and Cost of Financial Distress Static tradeoff theory, Pecking order theory and Windows of opportunity theory.

Net Present Value, Internal Rate of Return (IRR), Payback period

Basics of forwarding and Future, Basics of Option, Option trading strategies

Logistic Regression, Multiple Logistic models

Decision tree analysis

Operating lease and financial lease

Single and Multiple Linear Regression, Modelling and Prediction (Examples using financial data)

Instructors

IIM Kashipur Frequently Asked Questions (FAQ's)

1: Why aspirants should pursue the Financial Data Analytics Programme?

Modern-day practices demand new analytical tools. A Financial Data analytical programme is one such way through which one can learn new and comprehensive analytical tools of Finance.

2: What is the format of the course?

The course is a blend of assignments, case studies, video session campus visits and quiz.

3: What is case-based learning?

The cases are the problems/situations from the real business world given to the students to test their acumen and to prepare them to face the challenges of the corporate world.

4: Who are the Faculty members?

Top class teachers selected from different parts of the country along with Industry Veterans will be delivering sessions to students.

5: Are Campus visits paid?

Yes. Campus visits will be charged above the fees of the Programme.

6: What is the Schedule of classes?

The classes are generally scheduled at weekend for the ease of students.

7: What if I am unable to attend a class?

Nothing to worry about. Video recording if the session will be provided to the student.

8: What is the benefit of Joining through Nulearn?

Scholarships to deserving candidates, counselling on an individual basis, Discounts to specially-abled people and ex-servicemen are few of the added advantages.

9: What is the duration of the course?

The course will be for 5 months.

10: Does it benefit in promotions?

There are various testimonies from the alumni of the course which shows how helpful the course was to them in succeeding in their respective careers.