Advanced Certificate in Data Cleansing and AI Ethics
-- ViewingNowThe Advanced Certificate in Data Cleansing and AI Ethics is a comprehensive course designed to meet the growing industry demand for professionals with expertise in data cleansing and AI ethics. This certificate course emphasizes the importance of clean, accurate data and the ethical considerations necessary when implementing AI technologies in the workplace.
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GBP £ 140
GBP £ 202
Save 44% with our special offer
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โข Data Cleansing Fundamentals — an introductory unit covering the basics of data cleansing, data quality, and data preprocessing.
โข Data Profiling & Discovery — this unit will focus on techniques and tools used to analyze and understand data sets, identifying potential issues and opportunities for improvement.
โข Data Standardization & Matching — students will learn about various methods to standardize data formats and match records across different data sources.
โข Advanced Data Cleansing Techniques — this unit will cover advanced techniques for handling missing data, duplicate records, and inconsistent data values.
โข Data Quality Metrics & Evaluation — students will learn about various data quality metrics and methods for evaluating and monitoring data quality.
โข AI Ethics: Foundations & Principles — an introductory unit covering the ethical principles and foundational concepts in AI, such as fairness, accountability, transparency, and privacy.
โข Bias and Discrimination in AI Systems — this unit will focus on identifying and mitigating biases and discriminatory outcomes in AI systems.
โข AI Accountability & Explainability — students will learn about methods for ensuring AI systems are accountable and explainable, including techniques for model interpretability and explainability.
โข AI Privacy & Security — this unit will cover ethical considerations around AI privacy and security, including data protection, anonymization, and encryption.
โข Ethics in AI Applications — this unit will explore ethical considerations in various AI applications, such as facial recognition, autonomous vehicles, and healthcare.
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