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
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