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Introduction to Data Mining and Data Visualization

Data visualization is an essential technique for presenting complex data and insights in an easily understandable format, using a variety of visual elements to communicate data relationships effectively. The key aspects of data visualization include: Graphical representation: Data visualization uses visual elements like charts, graphs, and maps to represent data, making it more accessible and comprehensible for users. Variety of formats: There are numerous data visualizations, such as bar charts, pie charts, line charts, area charts, histograms, and scatter plots, which can display data differently. Benefits: Visualizing data helps users quickly spot errors, identify patterns or trends, and better understand complex information. Applications: Data visualization tools are used in various fields, including business, science, and information technology, to analyze and present data effectively.

Temps présentiel : 18 heures

Charge de travail étudiant : 75 heures

Méthode(s) d'évaluation : Examen final