🚀 Business Strategy and Innovation
Transform Data into Decisions, and Decisions into Success
In today’s fast-changing business landscape, strategic thinking and innovative solutions are critical for success. This comprehensive two-month course is designed to help professionals, leaders, and aspiring managers gain cutting-edge insights into strategy, leadership, marketing, and analytics. Delivered through an engaging and practical approach, the program empowers participants to make informed decisions and lead their organizations with confidence.
📚 4-Course Program Overview
This program is designed to equip learners with cutting-edge skills in business analytics, HR, risk management, and ethical leadership. Each module combines theory with real-world applications, ensuring participants can apply their knowledge directly in organizational contexts.
Module 1: Data Analytics & Decision-Making
In this module, learners will gain hands-on skills to analyze complex data, model uncertainty, and optimize business decisions using Excel and XLMiner. The course blends theory with practical applications, showing how global companies apply these methods to drive results. By the end, participants will be able to turn raw data into actionable insights for smarter business strategy.
Key Takeaways:
- Apply Cluster Analysis to segment data and discover patterns
- Use Monte Carlo Simulation to manage risk and uncertainty
- Build and optimize spreadsheet models for better decision-making
- Apply linear and binary optimization for real-world business problems
- Explore advanced models such as simulation optimization for complex decisions
Module 2: HR Analytics
This module introduces participants to HR data analysis techniques that transform workforce data into actionable insights. Learners will explore metrics, tools, and frameworks that enhance recruitment, retention, and employee performance, enabling HR professionals to become strategic business partners.
Key Takeaways:
- Leverage HR data to drive talent management and workforce planning
- Apply analytics to improve employee engagement and retention
- Use predictive models to support strategic HR decision-making
Module 3: Risk Management (COSO Framework)
This module focuses on enterprise risk management using the globally recognized COSO framework. Participants will learn to identify, assess, and manage business risks while ensuring compliance, resilience, and organizational sustainability.
Key Takeaways:
- Apply the COSO Framework to enterprise risk management
- Develop strategies for risk identification and mitigation
- Strengthen organizational resilience against uncertainties
Module 4: Ethical Leadership
This module explores the foundations of ethics in business and leadership, drawing from key thinkers and economic perspectives. Learners will critically examine moral principles in commercial society and apply them to modern business challenges.
Key Topics:
- Adam Smith’s views on justice and wealth creation
- Hayek’s concept of rational economic order and price systems
- Building integrity, accountability, and ethical responsibility in leadership
📚 Course Module
This program is proudly provided in collaboration with:
- SYME Business School, Australia
- Academy of Finance and Management
⏳ Course Duration
- 2 Months (Online Learning)
- Flexible schedule designed for working professionals.
📜 Certification
Upon successful completion of the course, participants will receive:
- An E-Certificate from SYME Business School, Australia (delivered to your registered email)
- An Official Hard Copy Certificate for your professional portfolio
👩💼 Who Should Enroll
This course is ideal for:
- Business leaders and managers
- HR and marketing professionals
- Entrepreneurs and innovators
- Students seeking global career opportunities
📞 Contact Information
For registration or further inquiries, please contact:
Mr. Mustasim
📱 +880 17 4282 7823
Course Features
- Lectures 50
- Quiz 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Certificate No
- Assessments Yes
Curriculum
- 4 Sections
- 50 Lessons
- 10 Weeks
- Module 1: 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
- Module 2: HR Analytics6
- Module 3: Risk Management (COSO Framework)5
- Module 4: Ethical Leadership12
- 4.1Introduction
- 4.2Justice in a Commercial Society
- 4.3Adam Smith on Justice and Beneficence
- 4.4Adam Smith’s Explanation of the Wealth (Part I)
- 4.5Adam Smith’s Explanation of the Wealth (Part II)
- 4.6Pope John Paul II on the Nobility of Work
- 4.7Recap of Justice in a Commercial Society
- 4.8Introduction to Value Broken Windows and Prices
- 4.9Bastiat’s: What is Seen and What is Unseen?
- 4.10Hayek on Rational Economic Order and Prices
- 4.11Can Markets Price Everything?
- 4.12Recap of Value Broken Windows and Prices