Quantitative Finance with SAS: Apply, Analyze & Evaluate

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Quantitative Finance with SAS: Apply, Analyze & Evaluate

Instructor: EDUCBA

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2 modules

Gain insight into a topic and learn the fundamentals.

12 reviews

5 hours to complete

Flexible schedule

Learn at your own pace

2 modules

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

Tools you'll learn

SAS (Software)

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

In Module 1, learners explore the SAS environment, conduct descriptive statistics, apply T-Tests, interpret correlation, and build regression and variance models to evaluate financial data. In Module 2, participants progress to advanced applications by applying SAS procedures to economic datasets, forecasting financial trends, and analyzing real-world financial markets including the BSE Sensex and forex. By the end of this course, learners will be able to analyze financial datasets, apply SAS procedures to real-world economic and market scenarios, interpret statistical outputs accurately, and evaluate financial risks for data-driven decision-making.

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

14 videos Total 122 minutes

Introduction to SAS Quantitative Finance 3 minutes
Installation of SAS 12 minutes
SAS System & Means Procedure 4 minutes
T-Test 10 minutes
Practical of T-Test 11 minutes
Introduction to Correlation theory 11 minutes
Interpretation of SAS Output 6 minutes
Correlation theory and implementation in SAS 7 minutes
Introduction to Regression Modeling 12 minutes
Analysis of Variance 11 minutes
Regression Modeling in SAS System 11 minutes
Parameter Estimates 8 minutes
Example of Regression Models 8 minutes
Example of Maruti vs Sensex 9 minutes

4 assignments Total 60 minutes

Getting Started with SAS 10 minutes
Statistical Testing with SAS 10 minutes
Regression and Variance Analysis 10 minutes
Graded - Foundations of SAS in Quantitative Finance 30 minutes

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

6 videos Total 54 minutes

Introduction theory to SAS procedures 12 minutes
SAS procedures Economic Data 11 minutes
Interpretations of SAS Output 12 minutes
Interpretation of BSE Sensex 6 minutes
Interpretation of Forex 6 minutes
Continuation of Interpretation of Forex 7 minutes

3 assignments Total 50 minutes

Exploring SAS Procedures 10 minutes
Financial Market Data Analysis 10 minutes
Graded - Advanced SAS Applications in Financial Data 30 minutes

Instructor

EDUCBA

1,050 Courses 251,576 learners

Offered by

EDUCBA

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Reviewed on Oct 19, 2025

This was my first time taking a course in this format and it far exceeded my expectations

Reviewed on Oct 26, 2025

Really happy! Exactly what I was hoping it would be

Reviewed on Oct 21, 2025

Great course with very valuable information and wonderful Teacher.

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