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Quantitative Finance with SAS: Apply, Analyze & Evaluate

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Quantitative Finance with SAS: Apply, Analyze & Evaluate

Dozent: EDUCBA

Bei enthalten

Mehr erfahren

2 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

12 Bewertungen

5 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

2 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

12 Bewertungen

5 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

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.

Kompetenzen, die Sie erwerben

Kategorie: Statistical Analysis
Kategorie: Descriptive Analytics
Kategorie: Financial Market
Kategorie: Statistical Modeling
Kategorie: Time Series Analysis and Forecasting
Kategorie: Risk Modeling
Kategorie: Data Analysis Software
Kategorie: Financial Modeling
Kategorie: Descriptive Statistics
Kategorie: Statistical Hypothesis Testing
Kategorie: Statistical Programming
Kategorie: Quantitative Research
Kategorie: Statistical Reporting
Kategorie: Regression Analysis
Kategorie: Statistical Methods
Kategorie: Financial Data
Kategorie: Correlation Analysis
Kategorie: Market Data

Werkzeuge, die Sie lernen werden

Kategorie: Risking
Kategorie: SAS (Software)

Wichtige Details

Zertifikat zur Vorlage

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Bewertungen

7 Aufgaben

Unterrichtet in Englisch

91%

of learners achieved a positive career outcome

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

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In diesem Kurs gibt es 2 Module

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.

Moduldetails

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.

Das ist alles enthalten

14 Videos4 Aufgaben

14 VideosInsgesamt 122 Minuten

Introduction to SAS Quantitative Finance3 Minuten
Installation of SAS12 Minuten
SAS System & Means Procedure4 Minuten
T-Test10 Minuten
Practical of T-Test11 Minuten
Introduction to Correlation theory11 Minuten
Interpretation of SAS Output6 Minuten
Correlation theory and implementation in SAS7 Minuten
Introduction to Regression Modeling12 Minuten
Analysis of Variance11 Minuten
Regression Modeling in SAS System11 Minuten
Parameter Estimates8 Minuten
Example of Regression Models8 Minuten
Example of Maruti vs Sensex9 Minuten

4 AufgabenInsgesamt 60 Minuten

Getting Started with SAS10 Minuten
Statistical Testing with SAS10 Minuten
Regression and Variance Analysis10 Minuten
Graded - Foundations of SAS in Quantitative Finance30 Minuten

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.