Quantitative Aptitude - Math and Logical Reasoning for Competitive Exams
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This beginner course introduces quantitative aptitude, the part of most competitive exams that tests numerical and problem-solving ability. It treats the subject as a check on accuracy, analysis, mental alertness and efficiency with numbers, all of which carry into exams and workplaces.
Learners who feel shaky on the fundamentals and students preparing for the quantitative section of an exam should start here. The course is designed to get a learner ready for the numerical side of competitive tests, so it is a foundation rather than an exam-level drill.
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Quantitative Aptitude is used to measure the numerical and problem-solving abilities of a person. It is an inseparable and integral part of most of competitive exams. It tests the quantitative skills along with the logical and analytical skills of a person. One can test their own number of handling techniques and problem-solving skills by solving these questions. This free course on "Quantitative Aptitude Basics" is curated so that learners can get started with topics such as basic algebra, quadratic equations, inequalities, and percentages. A person with quantitative aptitude will be in a better position to analyze and make sense of the data given. A quantitative aptitude checks the accuracy, analysis skills, efficiency with numbers, problem-solving and mental alertness of a person. This course will ensure that you can excel in the Quantitative Aptitude section of the competitive examinations.
Several reputed universities, in collaboration with Great Learning, have designed various Data Science and Business Analytics Post Graduate programs. You can apply to our data science and analytics course that is ranked #1 data analytics course in India. Secure a Postgraduate Certificate in the highest-rated Data Science and Business Analytics online course from the University of Texas, Austin and Great Lakes Executive Learning. This course will teach you how to use quantitative analysis to gather data and information using various data science and analytics tools and techniques.
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