The data analytics and visualization course cover techniques and tools used to analyze and visualize data in order to identify patterns, trends, and insights. The course covers topics such as data exploration and cleaning, data visualization principles and techniques, statistical analysis, and data mining.
Students would learn how to use popular tools and languages
such as Excel, Tableau, R, or Python to analyze and visualize data, and may
also explore machine learning algorithms and techniques for data modelling and
prediction.
The course also covers topics such as data ethics, data
security, and data governance. Students would be expected to complete projects
that involve data analysis and visualization and may gain practical experience
with real-world data sets.
The course would be geared towards students with a basic understanding of statistics and programming, and may prepare students for careers in data analysis, business intelligence, or data visualization.
Upon completion of the programme, graduates can pursue careers as data analysts, data scientists, database administrators, business intelligence analysts, and software developers in a wide range of industries, including finance, healthcare, technology, and government.
European International University - Paris
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