Advanced Quantitative Statistics With Excel Course Syllabus

Overview: This course provides a comprehensive introduction to advanced quantitative statistics using Microsoft Excel, designed for beginners in data analytics and business management. Over approximately 16-20 hours, learners will build foundational and practical skills in statistical analysis, interpret data, and apply methodologies to real-world business problems. The course combines quizzes, hands-on exercises, case studies, and a final project to reinforce learning and develop professional competencies in Excel-based data analysis.

Module 1: Introduction & Foundations

Estimated time: 3 hours

• Review of tools and frameworks commonly used in practice
• Introduction to key concepts in introduction & foundations
• Overview of Excel for statistical applications
• Setting up data for analysis in Excel

Module 2: Core Concepts & Theory

Estimated time: 2 hours

• Introduction to key concepts in core concepts & theory
• Understanding descriptive and inferential statistics
• Case study analysis with real-world examples
• Review of tools and frameworks commonly used in practice

Module 3: Practical Application & Techniques

Estimated time: 1.5 hours

• Hands-on exercises applying practical application & techniques
• Interactive lab: Building practical solutions in Excel
• Case study analysis with real-world examples

Module 4: Advanced Topics & Methods

Estimated time: 3.5 hours

• Hands-on exercises applying advanced topics & methods
• Review of tools and frameworks commonly used in practice
• Discussion of best practices and industry standards

Module 5: Case Studies & Real-World Projects

Estimated time: 4 hours

• Discussion of best practices and industry standards
• Review of tools and frameworks commonly used in practice
• Hands-on exercises applying case studies & real-world projects techniques

Module 6: Final Project

Estimated time: 2.5 hours

• Capstone project work with guided instructor feedback
• Case study analysis with real-world examples
• Submission of peer-reviewed assignment demonstrating statistical proficiency

Prerequisites

• Basic knowledge of statistics
• Familiarity with Microsoft Excel
• Ability to interpret data and perform basic calculations

What You'll Be Able to Do After

• Analyze complex business problems using structured statistical methodologies
• Apply Excel tools to perform advanced quantitative analysis
• Interpret data and generate actionable insights
• Design data-driven solutions meeting professional standards
• Build a professional portfolio demonstrating statistical competency