This course covers the following learning outcomes and goals: understanding how to handle big data by designing appropriate databases and infrastructure, adding value to big data through Smart Data techniques, evaluating the application of machine learning models, and gaining insights from real-life project examples. The course teaches skills in data warehouses, ETL tools, visualization, database design, infrastructure planning, Smart Data techniques, and machine learning model application. The teaching method includes real-life project examples and practical insights. The intended audience for this course includes data professionals, database administrators, data engineers, and individuals interested in handling and deriving value from big data.
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