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DATA 101 Fundamentals of Data Science

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The aim of the DATA 101 Fundamentals of Data Science course is to comprehend students about the fundamentals of data science and the efficiency of the science. The student will study various science topics and theoretical information about the data revolutions and technical and practical information about the concepts and materials. The above stated course mainly explores knowledge about the data-driven economy.

There are hundreds of students during a class which suggests a decent strength is maintained in the class-rooms as it becomes difficult for the professors and lecturers to focus on each individual student and resolve their doubts or questions. However, a class of one hundred or more or fewer students includes excellent, intelligent, and average and below-average students of all kinds, and everyone does not easily understand the concepts and theories of the course curriculum, and the ability to resolve the academic tasks is different. Some of the students are able to deal with their academic tasks; however, some of them need personal attention. Due to their hesitation and reticence behavior, the students do not take their questions or problems to the faculty member and do not resolve them even after the class is over, and not even with their classmates of theirs. This kind of scenario gets the scholars in trouble and their doubts accumulate when the academic tasks are allocated and the student gets bad grades. Students must complete their assignments and homework job on time with quality content.

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