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⏱ 3h📚 30 lessons
Applied Verbal Reasoning for Aptitude Tests
Learn systematic methods to analyze arguments, solve complex verbal puzzles, and build the critical thinking foundation necessary for success on standardized aptitude tests.
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About this course
Verbal reasoning tests often feel like guesswork, relying heavily on intuition rather than repeatable logic. This course provides the structural thinking required to approach these problems confidently and accurately.
By mastering the core principles of linguistic analysis and deductive thinking, you will transform your approach to complex statements and time-pressured aptitude questions, turning tricky puzzles into solvable challenges.
What you'll learn:
* Understand the fundamental structures of deductive and inductive reasoning used in verbal logic puzzles.
* Analyze complex passages and arguments to quickly identify main ideas, underlying assumptions, and valid conclusions.
* Master systematic methods for solving common sequencing, analogy, classification, and coding/decoding problems.
* Apply effective reading comprehension strategies to increase reading speed while maintaining precision and accuracy under timed conditions.
* Practice breaking down ambiguous statements into clear, logical components to eliminate common traps and distractors.
The course begins by establishing key terminology and foundational logical concepts. We then progress through structured units focusing on different problem types, providing detailed written explanations and worked examples before moving to practice exercises.
This course is designed for absolute beginners and anyone preparing for standardized aptitude or competitive examinations. No prior knowledge of formal logic or advanced mathematics is required.
Start building your essential critical thinking toolkit today.
Course contents
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
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⚡Short & focused 3h 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.