People Innovation Excellence

Courses

DATA VISUALIZATION (2 Credits)

Learning Outcomes: On successful completion of this course, student will be able to: LO1 - describe various examples of data visualization used in practice; LO2 - Explain how the Gestalt principles o...

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DATA VISUALIZATION (2 Credits)

Learning Outcomes: On successful completion of this course, student will be able to: explain Explain the basic concepts and the context for performance dashboards; analyze Analyse performance dashbo...

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DATA VISUALIZATION (2/1 Credits)

Learning Outcomes: On successful completion of this course, student will be able to: LO1 - describe various examples of data visualization used in practice; LO2 - explain how the Gestalt principles o...

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DATA VISUALIZATION (4 SCU)

Learning Outcomes Write code to clean and format data in preparation for data visualisation; Design appropriate and effective visualisations that help users gain deep insight into complex data sets; ...

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DATA VISUALIZATION (4 SCU)

Learning Outcomes Design and create the visual representation for numerical data sets using various visualization tools and techniques; Identify and critique techniques and practices in non-numerical...

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Data Warehouse

Learning Outcomes: On successful completion of this course, students will be able to: Understand the techniques to convert data from transactional data to historical data; Design data warehouse; Anal...

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Data Warehouse

Learning Outcomes On successful completion of this course, students will be able to: Identify the basic concepts, components and architecture of data warehouse; Explain the requirements and how to de...

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Data Warehouse

Learning Outcomes On successful completion of this course, student will be able to: Identify the basic concepts, components, environment, architecture and technologies of data warehouse; Explain the ...

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DATA WAREHOUSE (2/1 Credits)

Learning Outcomes: On successful completion of this course, student will be able to: Identify the basic concepts, components, environment, architecture and technologies of data warehouse; Explain the...

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