Decision Making for Leaders: Leveraging Data

Overview

If you are a manufacturing professional looking to advance your data analysis skillset so that you can advance your business career, then this is the class for you!!

Syllabus

• Introduction to Decision Making in Manufacturing
Importance of Data-Driven Decisions
Overview of Decision-Making Models
• Fundamentals of Data Analysis
Types of Data in Manufacturing
Data Collection Methods
Data Cleaning and Preprocessing
• Descriptive Statistics for Business Insights
Measures of Central Tendency
Measures of Variability
Data Visualization Techniques
• Predictive Analytics and Forecasting
Introduction to Predictive Modeling
Time-Series Analysis
Implementing Basic Forecasting Models
• Prescriptive Analytics for Optimal Decisions
Optimization Techniques
Simulation Modeling
Scenario Analysis
• Leveraging Machine Learning in Decision Making
Introduction to Machine Learning Concepts
Supervised vs Unsupervised Learning
Case Studies in Manufacturing
• Tools and Technologies for Data Analysis
Overview of Data Analysis Software (e.g., Excel, Python, R)
Implementing Data-Driven Dashboards
• Decision-Making Frameworks and Strategies
SWOT Analysis
Risk Assessment and Management
Cost-Benefit Analysis
• Developing a Data-Driven Culture in Organizations
Communicating Data Insights to Stakeholders
Building Analytical Teams
Ethical Considerations in Data-Driven Decision Making
• Capstone Project
Identify a Manufacturing Problem
Apply Data Analysis Techniques to Develop a Solution
Present Findings and Recommendations

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Taught by

Ray Harkins, The Manufacturing Academy and Michael J. Vella

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Subjects

Data Science