Advanced Certificate in Data Cleansing and AI Ethics

Name: Advanced Certificate in Data Cleansing and AI Ethics
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The 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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AboutThisCourse

By enrolling in this course, learners will gain essential skills for career advancement in data analysis, AI development, and related fields. The course covers best practices for data cleansing, data validation, and data quality management, as well as ethical considerations around AI transparency, fairness, and privacy. As businesses increasingly rely on data-driven decision-making and AI technologies, there is a growing need for professionals who can ensure the accuracy and ethical use of data. This certificate course equips learners with the skills and knowledge necessary to succeed in this exciting and rapidly evolving field.

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CourseDetails

• Data Cleansing Fundamentals — an introductory unit covering the basics of data cleansing, data quality, and data preprocessing.
• 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.
• Data Standardization & Matching — students will learn about various methods to standardize data formats and match records across different data sources.
• Advanced Data Cleansing Techniques — this unit will cover advanced techniques for handling missing data, duplicate records, and inconsistent data values.
• Data Quality Metrics & Evaluation — students will learn about various data quality metrics and methods for evaluating and monitoring data quality.
• AI Ethics: Foundations & Principles — an introductory unit covering the ethical principles and foundational concepts in AI, such as fairness, accountability, transparency, and privacy.
• Bias and Discrimination in AI Systems — this unit will focus on identifying and mitigating biases and discriminatory outcomes in AI systems.
• AI Accountability & Explainability — students will learn about methods for ensuring AI systems are accountable and explainable, including techniques for model interpretability and explainability.
• AI Privacy & Security — this unit will cover ethical considerations around AI privacy and security, including data protection, anonymization, and encryption.
• 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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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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ADVANCED CERTIFICATE IN DATA CLEANSING AND AI ETHICS

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London School of International Business (LSIB)

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05 May 2025

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