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Data Analytics in Capital Markets
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Student Requirement
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For Under graduates
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For Under graduates
Data Analytics in Capital Markets
Total Duration | Certification Validity | Course type |
---|---|---|
16 Hours | No Expiry Date | Online Interactive |
For more information, please Contact:
Sapna: +91 9819021578
Masheera: +91 7715905414
Email id: gen_pdp@nse.co.in
The Data Analytics in Capital Markets program is a comprehensive 16-hour course designed to equip participants with essential skills for leveraging data analytics in the capital markets. This program explores trading indicators, market analysis techniques, and data-driven decision-making, empowering participants to utilize analytics effectively within a dynamic market environment.
Introduction to Data Analytics:
Role of trading indicators
Introduction to cash markets and their features
Understanding liquidity and impact cost
Market breadth indicators
Moving averages and index construction
Screeners using fundamentals and volume
Techno-funda investing system (Equity) in derivative markets
Identifying fraudulent behavior
Data Analytic Thinking:
Data-driven decision-making
Types of data analytics
Data categories and the data cycle
Analytical thinking models
Data Mining and Preparation:
Data sources and data cleaning
Handling missing data and data transformation
Types of Data Analytics in Capital Markets:
Descriptive, diagnostic, predictive, and prescriptive analytics
Key uses for stock market data analytics
- Live online interactive classes by professional faculty
- Class recordings available for a limited period
- Access through mobile, desktop and laptop
- Certification from NSE Academy
- Basic understanding of financial markets
- Interest in utilizing data analytics for informed decision-making
- Ideal for finance professionals, traders, analysts, and anyone seeking to enhance their data analytics skills within capital markets
- Gain skills for data-driven decision-making in financial markets
- Understand trading indicators and market breadth for effective trading strategies
- Develop knowledge in various types and categories of data analytics
- Enhance capability to navigate cash and derivative markets with real-time insights