Executive Development Programme in Data Science for Engagement
-- ViewingNowThe Executive Development Programme in Data Science for Engagement is a certificate course designed to meet the surging industry demand for data-savvy professionals. This programme emphasizes the practical application of data science principles, enabling learners to make informed, data-driven decisions in their respective domains.
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โข Foundations of Data Science: Introduction to key concepts and principles in data science, including data mining, machine learning, and big data analytics.
โข Data Visualization: Techniques and best practices for presenting data in a clear and effective way, including the use of charts, graphs, and other visual aids.
โข Statistical Analysis: Methods and techniques for analyzing and interpreting data, including probability theory, hypothesis testing, and regression analysis.
โข Data Management: Strategies and tools for collecting, storing, and organizing data, including data warehousing, data lakes, and data governance.
โข Machine Learning: Algorithms and techniques for building predictive models based on data, including supervised and unsupervised learning, neural networks, and deep learning.
โข Data Ethics: Ethical considerations and best practices for working with data, including privacy, security, and fairness.
โข Data-Driven Decision Making: Strategies and techniques for using data to inform business decisions, including data storytelling, data-driven innovation, and data-driven culture.
โข Emerging Trends in Data Science: Overview of the latest developments and trends in data science, including artificial intelligence, the Internet of Things, and blockchain.
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