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⏱ 2h 42m📚 27 lessons
Time, Speed, and Distance for SSC CGL Exams
Learn to solve quantitative aptitude problems quickly using a unified formula approach and ratio methods designed for competitive exam aspirants.
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About this course
Mastering quantitative aptitude is crucial for competitive exams, yet many struggle with memorizing endless formulas for speed and distance problems. This text-only course simplifies these complex topics by teaching you how to solve diverse problem types using a single, unified foundational framework.
Through clear written explanations, step-by-step derivations, and practice exercises, you will transition from memorizing shortcuts to deeply understanding the underlying mathematical relationships. You will build the speed and accuracy needed to tackle exam-level questions confidently.
What you'll learn:
- Understand foundational concepts of speed, distance, and time, including unit conversions and average speed.
- Apply the core ratio method to solve complex relative speed and proportional distance problems without memorizing multiple formulas.
- Solve classic exam scenarios such as trains crossing platforms, boats and streams, and circular tracks.
- Practice modern exam-solving strategies to eliminate options quickly and avoid common traps.
- Analyze written walk-throughs of previous exam-style questions to master step-by-step logical reasoning.
The course begins with essential definitions and core mathematical principles before progressing to advanced problem-solving techniques and step-by-step written practice scenarios. It is designed for beginners preparing for competitive exams like the SSC CGL, with no advanced mathematical background required.
Start reading today to simplify your quantitative preparation and master speed, distance, and time problems.
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 42m 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.