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 |
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.
Certificate Availability | Certificate Providing Authority |
---|---|
yes | IIM Kashipur |
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.
After pursuing the Financial Analytics module from Nulearn candidates would gain knowledge of:
The programme is ideally suited for:
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.
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
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)
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.
The course is a blend of assignments, case studies, video session campus visits and quiz.
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.
Top class teachers selected from different parts of the country along with Industry Veterans will be delivering sessions to students.
Yes. Campus visits will be charged above the fees of the Programme.
The classes are generally scheduled at weekend for the ease of students.
Nothing to worry about. Video recording if the session will be provided to the student.
Scholarships to deserving candidates, counselling on an individual basis, Discounts to specially-abled people and ex-servicemen are few of the added advantages.
The course will be for 5 months.
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.