Executive Development Programme in Data Art & Cloud for Business
-- ViewingNowThe Executive Development Programme in Data Art & Cloud for Business is a certificate course designed to empower professionals with the essential skills needed to excel in today's data-driven world. This programme bridges the gap between business strategy and data analytics, providing a comprehensive understanding of data visualization, cloud technologies, and artificial intelligence.
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⢠Data Art Fundamentals: An introduction to the principles and practices of data art, covering data visualization techniques, storytelling, and design.
⢠Cloud Computing Basics: A survey of cloud computing technologies, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).
⢠Data Analysis for Business: An exploration of data analysis techniques and tools, including statistical analysis, machine learning, and predictive modeling, with a focus on business applications.
⢠Cloud Security and Compliance: A review of cloud security and compliance considerations, including data privacy, access control, and regulatory requirements.
⢠Big Data and Analytics: An examination of big data technologies and techniques, including data warehousing, data lakes, and distributed computing frameworks, with a focus on business intelligence and analytics.
⢠Data Visualization Tools and Techniques: A hands-on exploration of data visualization tools and techniques, including Tableau, PowerBI, and ggplot, with a focus on best practices for creating effective visualizations.
⢠Cloud Migration Strategies: A consideration of cloud migration strategies, including lift-and-shift, re-architecture, and refactoring, with a focus on minimizing risk and maximizing value.
⢠Data-Driven Decision Making: An examination of the role of data in decision making, including data-driven culture, data governance, and ethical considerations.
⢠Emerging Trends in Data Art and Cloud: A look at emerging trends in data art and cloud, including artificial intelligence, machine learning, and blockchain, with a focus on their potential impact on business.
⢠Capstone Project: A final project that allows participants to apply the concepts and skills learned throughout the programme to a real-world business problem.
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