Global Certificate in AI-Powered Data Analysis for Schools
-- ViewingNowThe Global Certificate in AI-Powered Data Analysis for Schools is a comprehensive course designed to equip educators with essential AI and data analysis skills. In today's data-driven world, the ability to analyze and interpret data is crucial for informed decision-making in educational institutions.
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GBP £ 140
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โข Introduction to AI and Data Analysis: Understanding the basics of artificial intelligence and data analysis, including definitions, use cases, and primary concepts. โข Data Collection Techniques: Learning the different methods for gathering and collecting data, including web scraping, APIs, and databases. โข Data Cleaning and Preprocessing: Techniques for cleaning, preparing, and preprocessing data for analysis, including data normalization, outlier detection, and missing value imputation. โข Exploratory Data Analysis (EDA): Fundamentals of exploratory data analysis, including data visualization, statistical analysis, and hypothesis testing. โข Machine Learning Techniques: Overview of machine learning techniques, including supervised and unsupervised learning, regression, classification, clustering, and dimensionality reduction. โข Deep Learning and Neural Networks: Introduction to deep learning and neural networks, including feedforward and recurrent neural networks, convolutional neural networks, and long short-term memory networks. โข Natural Language Processing (NLP): Basics of natural language processing, including text preprocessing, sentiment analysis, and topic modeling. โข AI in Education: Real-world applications of AI in education, including personalized learning, intelligent tutoring systems, and automated grading. โข Ethical Considerations in AI: Understanding the ethical considerations of AI, including privacy, security, fairness, and transparency.
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