This comprehensive course introduces learners to the practical applications of SAS in quantitative finance, combining foundational statistical concepts with advanced market data analysis.

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What you'll learn
Apply SAS for descriptive statistics, correlations, regressions, and variance models.
Forecast economic and financial trends using SAS procedures on real datasets.
Analyze stock indices, forex, and market risks for data-driven decision-making.
Skills you'll gain
- Trend Analysis
- Financial Modeling
- Variance Analysis
- Market Data
- Correlation Analysis
- Statistical Analysis
- Statistical Hypothesis Testing
- Financial Forecasting
- Regression Analysis
- Descriptive Statistics
- Financial Analysis
- Time Series Analysis and Forecasting
- Financial Market
- Data Analysis Software
- Risk Analysis
- SAS (Software)
- Statistical Methods
Details to know

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September 2025
7 assignments
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There are 2 modules in this course
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.
What's included
14 videos4 assignments1 plugin
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.
What's included
6 videos3 assignments
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University of Illinois Urbana-Champaign
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Frequently asked questions
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