This comprehensive course introduces learners to the practical applications of SAS in quantitative finance, combining foundational statistical concepts with advanced market data analysis.
Quantitative Finance with SAS: Apply, Analyze & Evaluate
Quantitative Finance with SAS: Apply, Analyze & Evaluate
Instructor: EDUCBA
Access provided by SGCSRC
Gain insight into a topic and learn the fundamentals.
12 reviews
5 hours to complete
Flexible schedule
Learn at your own pace
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
- Statistical Hypothesis Testing
- Descriptive Statistics
- Time Series Analysis and Forecasting
- Variance Analysis
- Quantitative Research
- Financial Market
- Risk Modeling
- Financial Modeling
- Statistical Analysis
- Financial Analysis
- Correlation Analysis
- Data Analysis Software
- Regression Analysis
- Statistical Methods
- Market Data
Tools you'll learn
Details to know
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Assessments
7 assignments
Taught in English
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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 assignments
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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Showing 3 of 12
ZA
Reviewed on Oct 19, 2025
This was my first time taking a course in this format and it far exceeded my expectations
FS
Reviewed on Nov 9, 2025
I think it was again, a great learning experience. The teacher was fun and engaging
NA
Reviewed on Oct 21, 2025
Great course with very valuable information and wonderful Teacher.
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