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Financial Data Analytics & Machine Learning
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Intermediate Modules
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Certifications/Programs
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Online Interactive Courses
- Overview
- Technical Analysis
- Advance Technical Analysis Program Level-2
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Online / Self-Paced Courses
- Overview
- CORPORATE FINANCE, BOND MARKETS, BANKING, INVESTMENT & WEALTH MANAGEMENT
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- Future and Option Trading Strategies in Hindi
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Class Room Courses
- Overview
- One Day Workshop on Trading & Investing in Capital Market (Stock Market) (Mumbai)
- One Day Workshop on Trading & Investing in Capital Market (Stock Market) (Delhi)
- Technical & Fundamental Analysis in Capital Market (Mumbai)
- Technical & Fundamental Analysis in Capital Market (Delhi)
- Financial Modelling and Equity Valuation
- Gold as an Investment Instruments
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Enterprise Training
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- LEAP - Workshop for First Time Managers
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- Unmask the Magic of Finance for Non-Finance Professionals
- AI Fusion: Transforming Finance and Sales with GenAI
- EDGE-BFSI : Enabling Digital Growth Experience for BFSI Professionals
- CyberFusion 2024: Revolutionizing BFSI Security Paradigms
- Compliance Chronicles: Regulatory Insights & Best Practices
- Navigating the Future: Strategic Leadership in BFSI
- Beyond the Glass Ceiling: Strategic Transformation Program for High Potential Women Bankers
- Personal Tax Planning - "Aaykar ko Apna Banaakar"
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International Certificate Program
- Overview
- Corporate Treasury Management Macquarie University
- Treasury Operations Macquarie University
- Commodity Risk Management & Applications Macquarie University
- Financial Modelling & Valuation
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- Goods and Services Tax (GST)
- MS Excel Essentials
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- Microsoft 365 Excel
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- Cyber Security Fundamentals
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- Finance for Non-Finance Professionals
- Financial Modelling & Valuation THEMED TRACK
- Data Analysis & Visualization THEMED TRACK
- Python for Data Analytics & Reporting THEMED TRACK
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Online Interactive Courses
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Student Requirement
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For Under graduates
- Overview
- B.Com in Banking and Capital Markets
- BBA in FM by NSE Academy & GITAM, Telangana
- BBA in FM by NSE Academy & GITAM, Visakhapatnam
- BBA in FM by NSE Academy & GITAM, Bangaluru
- BBA in FM by NSE Academy & St Joseph's College
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- For Dealers
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For Working Professionals
- Overview
- Anna University - Online PG Certification Programme in Financial Analytics
- IIM Sirmaur (PGDM) - Post Graduate Diploma in Management (Data Science and AI)
- IIM Sirmaur (PGDM) - Post Graduate Diploma in Management (Tech.)
- IIM Kashipur - Executive Program in Fintech & Applied Financial Analytics
- IIM Raipur-Executive Development Program Investment Research Analysis
- Bootcamp on ESG Environmental , Social and Governance
- IMT Hyderabad-PG Certificate Program in Financial Technologies
- IIM Jammu Executive Program in Financial Analytics
- DeakinCo.'s - Business Intelligence with Data & AI
- Grant Thornton -Data Analytics & Business Intelligence Program
- Grant Thornton- Forensic Accounting and Fraud Investigation
- New York Institute of Finance- Micro Certificate
- DeakinCo.'s - Think Like A CEO Bootcamp
- RIMS-Applying and Intergrating ERM Theory Bootcamp
- Leveraging Data AI and Analytics for Continuous Risk Management Bootcamp
- Global Risk Management Professional Program
- New York Institute of Finance (NYIF) Certified-Global Investment Strategy Essentials (GISE)
- NSE Academy-Certificate Program in Finance for Non-Finance Professionals
- Certificate Program in Financial Modelling using Excel, R & Python
- Certificate Program in Machine Learning for Quantitative Finance
- PG Certificate Program in Financial Technologies Cohort-3
- NSE Academy Limited & IIM Jammu Executive Program in Financial Analytics
- MBA - FinTech The Future of Finance
- NSE Academy Limited & IIM Sambalpur MBA for Working Professionals at Delhi Campus
- NSE Academy Limited & IIM Sambalpur MBA for FinTech Management
- Certification Modules
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For Under graduates
Financial Data Analytics & Machine Learning
Total Duration | Certification Validity | Course Type |
---|---|---|
6 Months | No Expiry Date | Online Interactive |
For further information, contact
Kuldeep: 86556 47411
Email: programinfo@nse.co.in
The course blends finance, statistics, and analytics to equip the participants with the required skill sets in analyzing financial data. Participants will learn why, when, and how to apply statistical models on financial data to take real time day to day decisions in financial markets. By the end of this course, the participants should be able to build and use successful models using analytics in domains like accounting, trading, forecasting, risk management, portfolio management etc.
Introduction to Programming and Tools
Data Preparation
Data Visualization
Data Analysis & Statistics
Building Credit Risk Models
Time Series Analysis
Technical Analysis & Algorithmic Trading
Portfolio Analytics
Machine Learning Fundamentals
Building Stock Prices Forecasting Models using Machine Learning
6 Months of Immersive learning from experienced faculty/ professionals of XLRI & other Institutions/ firms
Industry aligned curriculum to teach intersection across finance, analytics and technology
Class discussions, cases, hands-on projects, interactive & engaging sessions to clear doubts
D2D Live interactive classes on Weekends
Certificate issued by XLRI & NSE Academy
For Indian Participants – Graduates from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline with Mathematics/Statistics up to 10+2 level.
For International Participants – Graduation or equivalent degree from any recognized University or Institution from their respective country.
Proficiency in English, spoken & written is mandatory. Deep interest and basics understanding of finance.
Strategic Decision-Making: Develop a data-driven mindset to make informed strategic decisions in complex financial scenarios.
Advanced Analytical Skills: Acquire proficiency in advanced financial modeling, time series analysis, and risk management strategies to enhance analytical capabilities.
Programming Proficiency: Develop strong programming skills in Python and R, thereby empowering participants to manipulate and analyze financial data effectively.
Networking: Connect with fellow professionals and potential collaborators, to expand your professional network.
Real-World Application: Apply acquired skills to manage real-world financial challenges through a comprehensive capstone project and gain practical experience for immediate implementation.