Data Analytics and Decision Making
Tagline: Transform Data into Decisions, and Decisions into Success
In today’s fast-changing business environment, strategic thinking and innovative solutions are critical for success. To remain competitive, professionals must continuously sharpen their knowledge and skills.
SYME Business School, Australia, in collaboration with AFMA, offers this self-paced, CPD-certified online course designed to help professionals master data-driven analysis and business improvement strategies.
🔎 Course Module: Data Analytics & Decision Making
This module equips learners with practical tools to analyze complex data, model uncertainty, and optimize business decisions using Excel and XLMiner. Through real-world applications and global case studies, participants will learn how to transform raw data into actionable insights that drive smarter business strategies.
Key Takeaways
- Apply Cluster Analysis to segment data and identify patterns
- Use Monte Carlo Simulation to manage risk and uncertainty
- Build and optimize spreadsheet models for improved decision-making
- Apply linear and binary optimization to solve business problems
- Explore simulation optimization for handling complex business decisions
📝 Assessment & Certification
- No formal assessment required
- Earn CPD hours upon completion
- Receive an E-Certificate from SYME Business School, Australia, co-branded with AFMA (delivered to your registered email)
💰 Course Fee
- International Participants: AUD 80
- Bangladeshi Participants: AUD 25 (approx. BDT 2,000)
⏳ Course Duration & Learning Format
- Duration: 1.5 Months (Self-paced)
- Format: 100% Online, Flexible Schedule for working professionals
👤 Who Should Enroll
Ideal for:
- Business Leaders & Managers
- HR & Marketing Professionals
- Entrepreneurs & Innovators
- Students seeking global career opportunities
📩 Contact & Registration
For Bangladesh:
Muhammad Mustasim
Business Development Manager
📞 01742 827 823
For International Inquiries:
Ms. Nalini Fernando
📧 bangladesh@cmaaustralia.edu.au
Course Features
- Lectures 27
- Quiz 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 32
- Certificate No
- Assessments Yes
Curriculum
- 1 Section
- 27 Lessons
- 10 Weeks
- Data Analytics & Decision-Making27
- 1.1Introduction
- 1.2What is Cluster Analysis?
- 1.3Data Reduction and Unsupervised Learning
- 1.4Preparing Data and Measuring
- 1.5Hierarchical and k-means Clustering
- 1.6Cluster Analysis with Excel
- 1.7Cluster Analysis with XL Miner
- 1.8Risk Analysis and Monte Carlo Simulation
- 1.9Adding Uncertainty to a Spreadsheet Model
- 1.10Defining Output Variables
- 1.11Using Historical Data – Model Uncertainty
- 1.12Models with Co-related Uncertain Variables
- 1.13Creating and Interpreting Charts
- 1.14Using Average Values vs Simulation
- 1.15Optimization and Decision Making
- 1.16Formulating and Optimization Problem
- 1.17Developing a Spreadsheet Model
- 1.18Adding Optimization to a Spreadsheet Model
- 1.19What-if Analysis and the Sensitivity Report
- 1.20Evaluating Scenarios and Visualizing
- 1.21Digital Marketing Application of Optimization
- 1.22Advanced Model for Better Decisions
- 1.23Business Problems with Yes/No Determine
- 1.24Formulating and Solution of Binary Optimization
- 1.25Metaheuristic Optimization
- 1.26Chance Constraints and Value at Risk
- 1.27Simulation Optimization
