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Overall Review of the Quantitative Aptitude Mastery Course on Coursera: The Quantitative Aptitude Mastery course offered by an esteemed CAT-Quant 99 Percentiler and IIM Ahmedabad Alumnus is an exceptional resource for anyone aiming to excel in quantitative aptitude exams. The course is meticulously designed with a balanced combination of solved examples and practice questions, making complex concepts accessible and easy to grasp. Whether you are a beginner or looking to deepen your understanding, this course is tailored to accommodate various learning paces and levels. Content and Curriculum: The course covers a comprehensive range of topics essential for various competitive exams and campus placements. It begins with foundational modules such as equations, ratio & proportion, percentages, and profit & loss, building a solid base for all aspirants. As you progress, it delves into advanced areas including probability, permutation & combination, coordinate geometry, and logarithms. Notably, modules like Geometry (properties, theorems, mensuration), Time & Work, and Time, Speed & Distance are well-structured to develop problem-solving skills for diverse question types. Teaching Methodology: The course employs a well-thought-out weekly schedule, perfect for disciplined learners. The mix of solved examples ensures clarity, while the practice questions reinforce learning and build confidence. The instructor's experience and teaching style make complex tricks and shortcuts easier to understand, helping students learn quickly and efficiently. Suitability and Benefits: This course is particularly beneficial for engineering students preparing for campus placement aptitude tests, GATE, and other exams such as CSAT, MAH MBA CET, SNAP, NMAT, and additional MBA entrance exams. Its structured approach and extensive coverage make it an excellent choice for anyone aiming to master quantitative aptitude in the shortest possible time. Recommendations: If you are self-motivated and committed to your learning journey, I highly recommend this course. The comprehensive curriculum, combined with expert guidance from a top percentile scorer and IIM alumnus, will surely elevate your quantitative skills. Regular practice along with the suggested weekly schedule can lead to significant improvement and exam success. In conclusion, the Quantitative Aptitude Mastery course on Coursera is a worthwhile investment for aspirants aspiring to excel in competitive exams and placements. Its detailed content, clear teaching methodology, and ongoing updates make it a top choice for mastering quantitative aptitude efficiently. Happy learning!
Get a chance learn from CAT-Quant 99 Percentiler and IIM Ahmedabad Alumnus.The course is taught in the right mixture of solved examples and practice questions to make concepts & tricks easy to understand & make students comfortable to learn all the topics.Quantitative Aptitude Mastery course is designed with a weekly schedule plan, so , if you are self disciplined & motivated to learn, you will learn so many things in smartest & fastest possible way. The course is surely going to be helpful for engineering students preparing for campus placement aptitude tests or for aptitude section of GATE or for students preparing for different exams like CSAT, MAH MBA CET, SNAP, NMAT and other MBA entrance exams.Content-Quantitative Aptitude MasteryThis particular part of the course will build the base for all aptitude exams, yes, we mean it, all aptitude exams.Module 1. EquationModule 2. Ratio & ProportionModule 3. VariationModule 4. PercentageModule 5. Profit & LossModule 6. Simple & Compound InterestModule 7. AveragesModule 8. Mixtures & AlligationsModule 9. PartnershipsModule 10. NumbersModule 11. HCF & LCMModule 12. IndicesModule 13. Time & WorkModule 14. Time, Speed & Distance ( Questions on trains, Boats, Relative Speed,Races etc)Module 15. Geometry -Different Properties and TheoremsModule 16. Geometry - MensurationModule 17. Permutation & CombinationModule 18. ProbabilityQuantitative Aptitude - Advanced Module 19. Sequence and SeriesModule 20. StatisticsModule 21. Co-ordinate GeometryModule 22. Modulus and InequalityModule 23. Functions and GraphsModule 24. Numbers- AdvancedModule 25. LogarithmApart from above modules, additional content is added from time to time.