Certificate in Data Metrics & Regression Analysis
-- viewing nowCertificate in Data Metrics & Regression Analysis: This course is crucial in today's data-driven world.
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Course Details
• Introduction to Data Metrics: Understanding data metrics, data measurement, and data analysis.
• Descriptive Statistics: Measures of central tendency, variability, and dispersion.
• Data Distribution: Normal distribution, skewness, and kurtosis.
• Data Visualization: Charts, graphs, and data representation.
• Regression Analysis: Simple and multiple linear regression, regression assumptions, and diagnostics.
• Correlation Analysis: Measuring the strength and direction of relationships between variables.
• Predictive Modeling: Building and evaluating predictive models, model validation, and overfitting.
• Regression Models with Non-linear Relationships: Transformations, interaction terms, and polynomial regression.
• Regression Model Selection: Model selection criteria, best subsets regression, and stepwise regression.
• Advanced Topics in Regression Analysis: Regularization, shrinkage, and ridge regression.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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