Data Analytics in Capital Markets

Data Analytics in Capital Markets

nse-line

Data Analytics in Capital Markets

TOTAL DURATION CERTIFICATION VALIDITY COURSE TYPE
16 Hours No Expiry Date Online Interactive

For more information, please Contact:

Counsellor : +91 7418954716 / +91 8080533088

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
  • 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