At the end of this course, the participants should be able to:
• Understand what Data is, its sources and types.
• Classify and group data
• Analyze Data
• Utilize result of analyzed data in Decision Making

Introduction
• What is Data?
• Sources of Data
• The process of making sense of data
Data Described
• Observations and variables
• Types of variables
• Central Tendency
• Data Distribution
• Confidence Intervals
• Hypothesis Tests
Working with Data Tables
• Cleaning data
• Removing observations & variables
• Generating consistent scales
• Frequency distribution
• Converting data and categorizing
• Generating groups
Understanding Relationships
• Visualizing relationships between variables
• Univariate Data Visualization
• Multivariate Data Visualization
• Visualization Groups
Building Models From Data
• Clustering
• Association Rules
• Predictive modeling
• Multiple Linear Regression
• Standard error
• Coefficient of multiple determination
• Logistic Regression
• Estimating Coefficients
• Assessing and Optimizing results
• Classification and Regression tests
Applications
• Applying data analysis at work

• Analytical Skills
• Statistical Analysis
• Decision Making
• Predictive modeling

This training course will be carried out through the use of best practices and the right combination of engaging and purposeful tools such as:
• Practical, relevant case studies
• Workshops and group activities
• Related role plays
• Experiential learning
• Brain storming
• Stimulating mental activities
• Engaging team competitions
• Suitable training Videos
• Presentations
• Self–assessments
• Learning with Simulations and Games

Supervisors, managers, and employees who are expected to handle and analyze data to assist in making better decision making.