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