Certificate in Data Science Monitoring
-- ViewingNowThe Certificate in Data Science Monitoring is a comprehensive course designed to equip learners with essential skills in data science surveillance. This course is vital in today's data-driven world, where businesses rely on data to make informed decisions.
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โข Data Science Monitoring Fundamentals: Introduction to data science monitoring, its importance, and benefits. Understanding the data science lifecycle.
โข Data Quality Monitoring: Techniques to ensure data quality, data validation, and data cleaning. Identifying and handling missing or inconsistent data.
โข Experiment Tracking: Tracking and monitoring machine learning experiments. Version control and collaboration tools for data science projects.
โข Model Monitoring: Techniques for monitoring model performance in production. Identifying and addressing concept drift and data drift.
โข Performance Metrics: Understanding performance metrics for data science models. Selecting appropriate metrics for different types of models and tasks.
โข Alerting and Notification: Setting up alerts and notifications for data science models. Best practices for alerting thresholds and notifications.
โข Data Visualization: Data visualization techniques for data science monitoring. Creating effective and informative visualizations for data exploration and monitoring.
โข Monitoring Tools and Platforms: Overview of popular data science monitoring tools and platforms. Hands-on experience with selected tools.
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