Data Analytics for Financial Markets

The Certificate Programme in Data Analytics for Financial Markets is designed to provide learners with the knowledge and tools to analyze, interpret, and forecast financial market trends using data-driven approaches. With the increasing role of big data, AI, and quantitative models, professionals in trading, investment, and risk management require strong analytical skills to make informed decisions. This course bridges finance and technology, preparing participants for careers in financial analysis, market research, portfolio management, and trading strategies.

Current Status

Not Enrolled

Price

Closed

Get Started

Take Course

About the course

What will you learn

Structure and functioning of financial markets (equities, bonds, derivatives, forex).
Data sources for financial markets and methods of collection.
Time-series analysis and forecasting of stock prices and indices.
Risk-return modeling and portfolio optimization.
Technical and fundamental analysis using data-driven tools.
Application of AI/ML in algorithmic trading and market prediction.
Visualization of financial trends using dashboards.
Case studies on NSE, BSE, SEBI regulations, and global markets.

Who is this for

Students aspiring for careers in trading, investment banking, or portfolio management.
Finance and economics graduates seeking to specialize in data analytics.
Market analysts and research professionals.
Traders and investors aiming to enhance decision-making with analytics.
Professionals in BFSI transitioning into quantitative finance roles.

Highlights

Learn the fundamentals of financial markets and instruments.

Master statistical and predictive modeling for market analysis.

Hands-on training in Excel, Python/R, and Power BI.

Develop trading and investment strategies using data insights.

Understand risk management through analytics.

Work on real-world financial datasets and simulations.

Industry-recognized certification.

Eligibility

The eligibility criteria for this course is the successful completion of high school (10+2) or an equivalent qualification.

Pre-Requisites:

Basic understanding of financial markets is recommended & Familiarity with Excel; exposure to programming (Python/R) is helpful but not mandatory.

Syllabus:

Module 1: Introduction to Financial Markets & Data Analytics
Module 2: Data Sources & Collection in Financial Markets
Module 3: Statistical & Time-Series Analysis
Module 4: Market Analysis Techniques
Module 5: Portfolio & Risk Management
Module 6: Machine Learning in Financial Markets
Module 7: Data Visualization & Reporting
Module 8: Regulatory & Ethical Considerations
Module 9: Capstone Project

Premium

Closed

Take Course

About this course

Level

Beginner

Duration:

30 Hours

Downloadable Files:

Features

Industry-validated certification.
Practical exposure through real-time financial data.
Expert trainers with finance and analytics experience.
Flexible learning structure for students and professionals.
Interactive simulations and case studies.
Career mentorship and placement guidance.

Mentorship

Live Sessions

Job Roles

Financial Market Data Analyst
Quantitative Analyst (Quant)
Equity/Derivatives Analyst
Risk and Compliance Analyst
Portfolio Analyst
Algorithmic Trading Specialist
Market Research Associate
Investment Banking Analyst