About Certificate Program in Data Science (Basic)- CPDS Programme
Data has emerged as a new functional requirement in modern-age decision making. Every organization use data as a key input to arrive at any decision-making pertaining to their products and services. This Programme in Data Science (Basic and Advance levels) offered by the National Institute of Securities Markets, will enable you to collect and manage data responsibly and ultimately use it to make informed decisions. The program is an interdisciplinary field of study that incorporates basic understanding of finance and securities markets. During your study, you may work in teams or independently to analyse financial/securities markets data using the learnings of the data science tools and techniques.
For Whom?
This program is designed for students who want to begin or advance their careers in data science in the securities markets domain. It is also ideal for the securities markets professionals who want to learn using data optimally to make their decisions more efficient, consumer-centric and cost effective.
1: Certificate Program in Data Science (Basic)
The Basic level course is designed for those with a limited technical background (some coding experience and familiarity with basic statistics) or those with no prior work experience. This course is best for the students who are looking to switch careers, gain hands-on experience working with real world datasets, and build a job-ready data science portfolio in securities Markets.
2: Certificate Program in Data Science (Advance)
Advance Data Science is for professionals who want to understand the in-depth knowledge of Data Science in Securities Markets. Advance Course is more application based in the field of Financial Markets. The Advance levels comprise courses in Machine Learning, Deep Learning, Financial Econometrics and Introduction of Big Data etc.
What do I learn?
Basic – 170 hrs plus learnings through online classes, tutorials, practice sessions and recorded videos will be provided at the basic level in the following areas:
1.Introduction to securities Markets
2.Mathematics for financial Markets
3.Statistics in financial Markets
4.Spreadsheet for Data Analysis
5.Data Visualization Design
6.’R’ Analytics in securities Markets
7.Data Handling and Manipulation – 6.’R ‘ Analytics in securities Markets
8.Programming in Python
9.Trading Simulation
* Tools Used – Advance Excel, R, Python, Power BI & Tableau (student version)
Advance – 200 hrs plus learnings through online classes, tutorials, practice sessions and recorded videos will be provided at the advance level in the following areas:
1.Machine Learning Foundation
2.Machine Learning Practices & techniques
3.Introduction of Deep Learning
4.Deep learning Models in Finance
5.Financial Econometrics
6.Time Series & Forecasting
7.Introduction of AI
8.Introduction of Big Data
9.Fintech Concepts
10.Algorithmic Trading
11.Financial Modelling
* Tools Used – R, Python, Power BI, Sublime, Hadoop, HIVE, PIG & Tableau (student version).
Programme Schedule
The programme will take place in Online Mode. The class timings would be as follows:
| Day | Timings | Teaching Hours | Break Time |
| Tuesday | 07: 00 pm to 09:15 pm | 2 hours | 15 mins |
| Thursday | 07: 00 pm to 09:15 pm | 2 hours | 15 mins |
| Saturday | 06:00 pm to 09:15 pm | 3 hours | 15 mins |
| Sunday | 10:00 am to 01:15 pm | 3 hours | 15 mins |
Program Delivery
Online Live Session via Zoom or any other Online platform.
Program Assessment
The performance of participants is assessed on continuous evaluation. Evaluation is through quizzes, submissions, projects, etc., as may be indicated by the faculty members. At the end of the Basic Level of the programme, participants will be awarded with Grades and certificate of completion of Basic Level of the said program. At the end of the Advance Level of the programme, participants will be awarded with grades and certificate of completion of Advance Level.
During the advance level of the program the students can attend two-day workshop/training physically in NISM, Patalganaga Campus.
Program Architecture
Basic – 170 hrs plus learnings through online classes, tutorials, practice sessions and recorded videos will be provided at the basic level in the following areas:
1.Introduction to securities Markets
2.Mathematics for financial Markets
3.Statistics in financial Markets
4.Spreadsheet for Data Analysis
5.Data Visualization Design
6.’R’ Analytics in securities Markets
7.Data Handling and Manipulation – 6.’R ‘ Analytics in securities Markets
8.Programming in Python
9.Trading Simulation
* Tools Used – Advance Excel, R, Python, Power BI & Tableau (student version)
Advance – 200 hrs plus learnings through online classes, tutorials, practice sessions and recorded videos will be provided at the advance level in the following areas:
1.Machine Learning Foundation
2.Machine Learning Practices & techniques
3.Introduction of Deep Learning
4.Deep learning Models in Finance
5.Financial Econometrics
6.Time Series & Forecasting
7.Introduction of AI
8.Introduction of Big Data
9.Fintech Concepts
10.Algorithmic Trading
11.Financial Modelling
* Tools Used – R, Python, Power BI, Sublime, Hadoop, HIVE, PIG & Tableau (student version).
Admissions 2023-24
NISM is pleased to invite applications for admissions to Certificate Program in Data Science (Basic)- CPDS 2023-24.
Eligibility
To apply for this programme, the minimum educational requirement is:
• 12th standard or equivalent with minimum 50% marks (Maths as a subject) from any recognized board.
Selection Criteria
• Candidates will be selected on the basis of a screening test.
• Students will be directly eligible for advance level after successful completion of basic level
• Students opting directly for advance level (without basic level) have to undergo separate screening test- the details
will be communicated secretly .
How to Apply?
1. New user has to register by clicking on “Click here to Apply Now” button.
2. Upon successful registration, a User-ID and Password will be sent to registered email ID and mobile number of the candidate.
3. Fill the Application form and upload all relevant documents.
4.Complete the application form by paying the application fee – Rs. 500/-
Important Dates for AY 2023-24
| Particulars | Date |
|---|---|
| Start Date for Application | June 30, 2023 |
| Last Date for Application | July 31, 2023 |
| Date of Screening Test | August 6, 2023 |
| Declaration of Merit List | August 11, 2023 (Basic Level) |
| Commencement of Program | September 2, 2023 |
Admission related FAQs
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Dr. Kirti Arekar
Professor - School for Securities Education (SSE)
Dr. Kirti Arekar
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Name: Dr. Kirti Arekar Designation: Professor - School for Securities Education (SSE) Email: kirti.arekar@nism.ac.in Contact: 02192-668369 Dr. Kirti Arekar is currently working with National Institute of Securities Markets as a Professor. She has been in teaching, research, training and consulting in Data and Statistical Analysis since 2000. Dr. Kirti worked with K.J. Somaiya Institute of Management, Welingkar Institute of Management (WeSchool) and Narsee Monjee Institute of Management Mumbai. She has been visiting faculty with SP Jain Global Institute of Management, Singapore and Manipal University, Dubai. She has conducted several training programs for corporates like BSE, NSE, BCCI, INS HAMLA, Lumiere, Mahindra & Mahindra and L&T etc. based on Decision Making, Statistics and Data Analysis etc. by using several Software’s i.e. SPSS, EXCEL, EXCEL Solver, MegaStat, Minitab, SAS, R, Python, SAS and QM3+ etc. She has 275 Research publications in International and National Journals. She has presented several Research Papers in many Universities like Harvard University, Manchester, University of Emirates, University of Wellington and Hull University etc.
She has done PhD. in Statistics in 2002 and Integrated Program in Business Analytics from IIM Indore. She has received an award for Best Research paper at Inter 3RD International conference on global independence and decision science, Administrative Staff College of India, Hyderabad, 2008; Best paper awarded by Global Economy and Finance Journal, Canada, 2013 & University of Boston, USA in 2012. Under her guidance two students was awarded Ph.D. degree.
She was awarded as the Best Teacher Award for Excellence in Research & Teaching from Higher Education Forum in 2013; has been also awarded Fellowship from World Business Institute, Melbourne, Australia in 2013 and Best Researcher Award in Higher Education from K.J. Somaiya Institute of Management, Mumbai and Best Faculty Award in Teaching in Excellence from Bombay Management Association, BMA in 2019.
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Dr. Dhiraj Jain
Professor - School for Securities Education (SSE)
Dr. Dhiraj Jain
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Name: Dr. Dhiraj Jain Designation: Professor - School for Securities Education (SSE) Email: dhiraj.jain@nism.ac.in Dr. Dhiraj Jain is a Ph. D in Management and a Fellow of the Insurance Institute of India. He has a corporate experience of 10 years and an academic experience spanning nearly two decades. His areas of interest include Quantitative Techniques, Business Statistics, Investment & Portfolio Management, Mutual Funds & Financial Derivatives. He has been a Corporate trainer for Equity markets and Mutual Funds for various Financial Institutions, Mutual Funds and Broking Houses and others. He has taken various sessions on Statistics, Research Methodology, Security Analysis and Portfolio Management and Financial Derivatives for management professionals at Wipro, Infosys, Tata Motors, Citius Tech and the like. He is an avid researcher and has a number of research papers, case studies and publications to his credit. His book Marketing Techniques for Financial Inclusion and Development is also indexed in the Scopus database. He has presented papers in various National and International conferences and had also received the best paper award in many of them. He has been a Ph. D guide for the past 8 years. 5 students have completed their Ph. D under his guidance.
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Dr. Kapil Shrimal
Associate Professor – School for Securities Education (SSE)
Dr. Kapil Shrimal
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Name: Dr. Kapil Shrimal Designation: Associate Professor – School for Securities Education (SSE) Email: kapil.shrimal@nism.ac.in Contact: +91-9978938182 / 02192- 668356 Dr. Kapil Shrimal is Associate Professor at National Institute of Securities Markets; he is having more than 13 years of experience of academics and 1-year experience of corporate. He has started his career with ICICI Prudential LIC and worked with Institutes like Prestige Institute of Management and Research, Indore, Symbiosis University of Applied Science Indore, Marwadi University Rajkot, etc. His last assignment was with PIMR, Indore.
His main area of teaching and research is Financial Planning, Portfolio Management, Derivatives, Financial Modelling, Financial Management, etc. He has conducted many Investment Awareness Program (IAP’s) on behalf of SEBI, NSE and ICAI India.
Dr. Shrimal has received Best Faculty award by Dainik Bhaskar in the year 2012. He has also received Best PhD Thesis award by Jaipuria Institute on Management Indore in the year 2018. He has presented and published research papers in International and National reputes and published one book. Some of his research papers got Best Research Paper awards in International Conferences.
He is into the editorial board and reviewer member of International Journal of Accounting and Financial Management Research. He is also associated with various Universities as a member of Board of Studies, Academic Council and PhD examiner.
Dr. Shrimal has done his PhD in Management (Finance) form Mohanlal Sukhadia University, Udaipur. He has also cleared UGC-NET and RPSC-SET in Management in the year 2012. Has done his MBA (Finance) and BBA from Devi Ahiliya University, Indore He has cleared many NISM certificates, NCFM modules and other certificate courses.
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Dr. Pradiptarathi Panda
Assistant Professor - School for Securities Information and Research (SSIR)
Dr. Pradiptarathi Panda
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Name: Dr. Pradiptarathi Panda Designation: Assistant Professor - School for Securities Information and Research (SSIR) Email: pradiptarathi.panda@nism.ac.in Contact: 91-2192668419 Dr. Pradiptarathi Panda is Assistant Professor at the National Institute of Securities Markets (NISM), having a decade of experience in teaching and research. Prior to NISM, Dr. Panda was a research scholar at Indian Institute of Capital Markets (IICM-now merged with NISM). He holds a Master's in Finance & Control (MFC) from Berhampur University, an M.Phil. in Finance from Pondicherry Central University and Ph.D. in Finance from the University of Mumbai and has qualified UGC NET. His Ph.D. thesis “Stock Market Spillovers: Evidence from BRICS Countries” win the Best Doctoral Thesis Award by IIF International Conference and Award Summit 2021 organized by the Indian Institute of Finance.
His areas of research interests Include-International Capital Markets, Derivatives, Interest Rate Futures, Innovative financial instruments, and Financial Economics. His teaching interests are Financial Institutions and Markets (FIM), Applied Financial Econometrics, Financial Computing using R and Python, Research Methods and Data Analytics, Financial Derivatives, Global Financial Markets, Investment Management, and Trading in equity and equity derivatives.
He is a Guest Editor for Asia Pacific Financial Markets (an official journal of Japanese Association of Financial Econometrics and Engineering), and an editorial board member as well as a reviewer for a number of finance journals and World Finance Conferences.
He has published several research papers in indexed journals like ABDC, ABS, Scopus, Web of Science, SCI, along with others. Some of the journals Dr. Panda published his research papers are - Pacific-Basin Finance Journal, International Journal of Finance and Economics, Empirica, The Afro-Asian Journal of Finance and Accounting, Decision, Vision among others. He has presented research papers in a number of international and national conferences; has participated in several workshops and organised a number of Faculty Development Programmes (FDPs), Capital Market Conferences and Workshops.
Dr. Panda conducts market simulation sessions in the SMART Lab for education institutions and reputed cadre of Government of India including IAS, SEBI, RBI, IRS, IES, ICLS, Defence Officers, etc. He has also conducted programmes for officers from the Securities Exchange Commissions and Central Bankers from Cambodia, Laos, Myanmar, Vietnam, Bangladesh and ITEC programme officers.
He is the faculty Co-coordinator of the NISM Alumni Association and Capital Markets Conferences.
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Dr. Mohd Meraj Inamdar
Assistant Professor - School for Securities Information and Research (SSIR)
Dr. Mohd Meraj Inamdar
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Name: Dr. Mohd Meraj Inamdar Designation: Assistant Professor - School for Securities Information and Research (SSIR) Email: Meraj.inamdar@nism.ac.in Contact: +91-2192-270140 / +91 8275325356 Dr. Inamdar is a faculty member at NISM. Prior to NISM, he worked for Indian Institute of Capital Markets, Institute of Cost Accountants of India chapter’s and IIT-Bombay CSE.
He has 11 years of experience in teaching & research and two years of corporate experience.
Dr. Inamdar has several publications in indexed journals and has won two best research paper awards in international conferences. He has conducted a various programs for international delegates as well as training programs for SEBI, RBI, IRS, IES officers and market intermediaries.
At NISM, Dr. Inamdar teaches ESG finance, quantitative methods and data analyses, derivatives options trading strategies (through algo trading simulator) and technical analysis. He is a member of the organising committee of NISM conferences. He has completed M.com, MBA (Finance), CWA (Final), and PhD in the field of ESG finance from Mumbai University
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Mr. Suneel Sarswat
Adjunct Faculty
Mr. Suneel Sarswat
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Name: Mr. Suneel Sarswat Designation: Adjunct Faculty Suneel Sarswat is an adjunct faculty at NISM. His current research area is applications of theoretical computer science in finance and regulations. He teaches advanced programming, machine learning, deep learning, computational finance, etc. He has more than 14 years of teaching experience. Before joining academics, he has worked for Bank of America as a research analyst for more than two years. He has conducted various workshops for working professionals in the area of compuatational finance and machine learning. He has trained officers from RBI, SEBI, Exchanges, Banks, and other financial institutions. He has presented his work in international conferences in theoretical computer science. Besides adjunct faculty at NISM, he is also a part-time consultant at Decimal Point Analytics.
He has completed his master’s degree in applied statistics from the Indian Institute of Technology, Mumbai in 2005. He also holds a master’s degree from Tata Institute of Fundamental Research (TIFR), Mumbai in theoretical computer science. Currently, he is completing his Ph.D. from TIFR in the area of applications of logic.
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Email:pgcm@nism.ac.in