Course Details

Introduction: In today’s highly competitive business world, companies are constantly looking for ways to optimize their operations to gain a competitive edge. Operations analytics is a key tool for achieving this, providing insights into the performance of a company’s operational processes and identifying areas for improvement.

Our Operations Analytics course is designed to equip participants with the skills and knowledge needed to leverage data and analytics to improve operational performance. The course covers a range of analytical techniques and tools, including data visualization, statistical analysis, forecasting, optimization, and simulation.

Who should attend?
This course is ideal for professionals involved in operations management, supply chain management, logistics, and manufacturing. It is also suitable for data analysts, business analysts, and anyone interested in learning how to leverage data and analytics to improve operational performance.

Learning Outcomes:

• Understand the fundamental concepts of operations analytics, including data visualization, statistical analysis, forecasting, optimization, and simulation.
• Learn how to collect, clean, and manipulate data for operations analytics.
• Develop skills in data visualization and reporting to communicate insights to stakeholders.
• Gain a deep understanding of statistical analysis and forecasting techniques.
• Learn how to use optimization techniques to improve operational performance.
• Develop skills in simulation and scenario analysis.

Course Curriculum:

• Introduction to Operations Analytics: • Fundamentals of operations analytics • Types of data and data collection methods • Data cleaning and manipulation
• Data Visualization and Reporting: • Data visualization techniques • Creating dashboards and reports • Communicating insights to stakeholders
• Statistical Analysis and Forecasting: • Descriptive statistics • Inferential statistics • Forecasting techniques
• Optimization: • Linear programming • Network optimization • Nonlinear programming
• Simulation: • Discrete-event simulation • Monte Carlo simulation • Scenario analysis
• Case Studies and Applications: • Real-world case studies and applications of operations analytics in various industries • Best practices for implementing operations analytics in organizations.

Conclusion: Our Operations Analytics course offers a comprehensive and practical approach to leveraging data and analytics to improve operational performance. With a focus on real-world applications and case studies, participants will gain the skills and knowledge needed to drive results and gain a competitive edge in today’s business world.