Advanced Certificate in Data Science Model Assessment
-- viewing nowThe Advanced Certificate in Data Science Model Assessment is a comprehensive course designed to equip learners with the essential skills required to excel in the field of data science. This course focuses on model assessment, a critical aspect of data science that involves evaluating and selecting the best predictive models for a given task.
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Course Details
• Advanced Model Evaluation Metrics
• Statistical Analysis in Data Science
• Model Selection Techniques
• Cross-Validation Methods
• Bias-Variance Trade-off in Data Science
• Overfitting and Underfitting
• Performance Analysis of Data Science Models
• Introduction to ROC Curves and AUC
• Precision-Recall Trade-off and F1 Score
• Confusion Matrix and Classification Metrics
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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