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Coursera

Quantitative Finance with SAS: Apply, Analyze & Evaluate

EDUCBA via Coursera

Overview

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Develop practical quantitative finance skills by learning how to analyze, apply, and evaluate financial data using SAS. This course introduces the essential statistical techniques and SAS procedures used to interpret financial datasets, assess market behavior, and support data-driven financial decision-making. You will begin by exploring the SAS environment and applying descriptive statistics to financial data. As you progress, you will analyze datasets using T-Tests and correlation methods, then apply regression modeling and variance analysis to interpret statistical relationships and evaluate financial market behavior. Building on these foundations, you will use advanced SAS procedures to analyze economic datasets, forecast financial trends, and interpret real-world financial market data, including the BSE Sensex and foreign exchange markets. This course is designed for learners who want to strengthen their quantitative finance and financial data analysis skills using SAS. Its practical approach emphasizes applying statistical methods to real financial and economic scenarios rather than focusing on theory alone. By the end of the course, you will be able to analyze financial datasets, apply SAS procedures, interpret statistical outputs, forecast financial trends, and evaluate financial risks with greater confidence.

Syllabus

  • Foundations of SAS in Quantitative Finance
    • This module introduces learners to the essential foundations of using SAS for quantitative finance. Participants will explore the SAS environment, apply statistical testing techniques, and interpret regression and variance models. By the end of this module, learners will be able to confidently use SAS tools to analyze financial data, evaluate relationships among variables, and apply regression modeling techniques to real-world market scenarios.
  • Advanced SAS Applications in Financial Data
    • This module focuses on advanced applications of SAS in analyzing financial market data and economic trends. Learners will explore essential SAS procedures for handling economic datasets, interpret outputs with statistical accuracy, and apply these techniques to real-world financial data such as the BSE Sensex and foreign exchange markets. By the end of the module, participants will be equipped to evaluate economic data, interpret financial indicators, and analyze market volatility using SAS for quantitative finance.

Taught by

EDUCBA

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4.9 rating at Coursera based on 12 ratings

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