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⏱ 2h 30m📚 25 lessons
Arithmetic Prep for CAT and MBA Entrance Exams
Master core arithmetic concepts, quantitative reasoning, and speed-solving techniques through structured written explanations and practice problems designed for MBA aspirants.
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About this course
Scoring high on the quantitative section of the CAT and other competitive MBA entrance exams requires a rock-solid grasp of arithmetic. This comprehensive text-based course is designed to take you from foundational math concepts to advanced problem-solving strategies, ensuring you can tackle exam questions with speed and precision. You will start by mastering the essential terminology, formulas, and core principles before moving on to practical application. Through clear, step-by-step written explanations, you will learn how to deconstruct complex word problems and apply efficient shortcut methods. What you'll learn: Understand fundamental arithmetic concepts including ratios, proportions, percentages, and averages; Apply speed-solving techniques to profit and loss, simple interest, and compound interest problems; Master time, speed, distance, and work equations using modern structured workflows; Practice solving high-yield exam-style questions with detailed written walkthroughs; Develop strategic reasoning to eliminate incorrect options quickly and manage your time effectively during the test. The course begins with a thorough review of basic numerical concepts and gradually builds up to complex, multi-concept arithmetic puzzles, ensuring a smooth and logical learning curve. This course is perfect for beginners starting their MBA prep journey, as well as intermediate learners looking to refine their quantitative skills. No advanced mathematical background is required to begin. Start building your quantitative confidence today.
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
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💸14-day refund No questions asked
⚡Short & focused 2h 30m of practical content
Certificate of completion
Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.