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Description
Master Course in Data Visualization & Data Warehousing 2.0
This comprehensive master course delves into the advanced realms of data visualization and data warehousing, equipping participants with the skills and knowledge necessary to harness the power of data for informed decision-making and strategic insights. The course is structured into five modules, each focusing on essential aspects of data visualization and data warehousing, supplemented with practical exercises and real-world case studies.
In the first module, “Foundations of Data Visualization,” participants will explore the fundamental principles and best practices of data visualization, mastering various visualization techniques and understanding the importance of storytelling through data. They will also gain hands-on experience with popular visualization tools and technologies.
The second module, “Advanced Data Visualization Techniques,” delves deeper into interactive and geospatial visualizations, as well as techniques for visualizing time series data. Participants will learn to create engaging, interactive dashboards and effectively communicate insights derived from temporal and spatial data.
Moving on to the third module, “Data Warehousing Fundamentals,” participants will gain a comprehensive understanding of data warehousing concepts, data modeling techniques, and ETL processes. They will learn to design efficient data models and implement robust ETL processes using industry-standard tools and methodologies.
The fourth module, “Advanced Data Warehousing Techniques,” explores topics such as data quality management, big data integration, and real-time data warehousing. Participants will delve into strategies for ensuring data quality, integrating big data with traditional data warehousing solutions, and implementing real-time data processing for timely insights.
Finally, the fifth module, “Advanced Topics in Data Visualization & Data Warehousing,” covers advanced applications of data visualization in machine learning, business intelligence, and cloud-based data warehousing. Participants will learn to visualize machine learning results, leverage visual analytics for business decision-making, and explore the benefits and challenges of cloud data warehousing solutions.
By the end of this master course, participants will have acquired the skills and expertise to effectively visualize data, design and implement robust data warehousing solutions, and leverage advanced techniques to extract actionable insights from complex datasets, thereby driving informed decision-making and strategic initiatives within their organizations.
In this master course, I would like to teach the 5 major topics:
Module 1: Foundations of Data Visualization
Module 2: Advanced Data Visualization Techniques
Module 3: Data Warehousing Fundamentals
Module 4: Advanced Data Warehousing Techniques
Module 5: Advanced Topics in Data Visualization & Data Warehousing
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