The big data technologies and analytics course typically covers the principles, tools, and techniques used to store, process, and analyze large and complex data sets. The course covers topics such as distributed computing, data storage and retrieval, data processing and analysis frameworks, such as Hadoop and Spark, and machine learning algorithms for big data analysis.
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Students would learn how to use programming
languages such as Python or R to manipulate and analyze big data.
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They will gain practical experience in working
with large data sets using distributed computing tools such as Apache Hadoop or
Apache Spark.
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The course also covers emerging topics such as
cloud-based big data systems, real-time processing, and big data visualization.
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Students would be expected to complete projects
involving big data analysis and visualization, and may gain experience in
designing and implementing big data processing systems.
The course would be geared towards students with a basic understanding of programming and database systems, and may prepare students for careers in data science, machine learning, or big data engineering.
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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