Course Overview
Quantitative Analysis introduces tools used to analyze data and solve business problems. Topics include algebra, linear equations, probability, descriptive statistics, correlation, regression, and forecasting. The course emphasizes application in real-world decision-making, especially in accounting, auditing, and finance. It helps learners interpret data, create models, and draw conclusions that improve business outcomes. No advanced math is needed—concepts are simplified and practical.
Curriculum
1
Quantitative Analysis SGI Study Guide
2
Revision Set - Live class
3
UNIT DESCRIPTION
4
Introduction, Functions & Matrix Agebra
5
Calculus, Differentiation & Integration
6
QA - Descriptive Statistics
7
Quantitative Analysis Chapter One.
8
COURSEOUTLINE
9
QA Topic 2 - Propability Part One - Live Class
10
Topic Two - Probability Notes
11
QA - Probability - Part 2 - Live Class
12
Topic 3 - Hypothesis Testing and Estimation Part 1 Live Class
13
Topic 3. Hypothesis Testing and Estimation Notes
14
Topic 3 - Hypothesis Testing and Estimation Part 2 Live Class
15
Correlation and Regression Analysis - Live Class
16
Correlation and Regression Analysis - Notes
17
Assignment 1
18
Regression Analysis - Live Class
19
Regression Analysis - Notes
20
Time Series Part one - Live class
21
Time Series Analysis Part 2 - live Class
22
Time Series Analysis - Notes
23
Linear Programming - Live Class
24
Decision Theory - Live Class
25
Linear Progamming - Notes
26
Decision Theory - Notes
27
Mock Exam
28
Wednesday 6 December 2023 Morning Paper
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Instructor
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