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⏱ 2h 54m📚 29 lessons
Essential Arithmetic for Quantitative Reasoning
This course is for beginners who need to solidify their understanding of fundamental arithmetic principles and apply them accurately to solve complex quantitative problems.
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About this course
Many foundational quantitative skills rely on a deep understanding of arithmetic. If you struggle with speed or accuracy in calculations, this course provides the structural methodology you need.
By the end of this course, you will have mastered the essential tools of arithmetic, enabling you to confidently tackle problems involving ratios, percentages, time, speed, and money, preparing you for higher-level mathematics or standardized testing.
What you'll learn:
* Understand the properties of number systems, including integers, rational numbers, and prime factorization.
* Master the application of percentages, ratios, and proportions for comparison and division problems.
* Apply foundational formulas for calculating profit and loss, simple interest, and compound interest.
* Practice structured problem-solving methodologies for time, work, speed, and distance scenarios.
* Develop robust estimation and approximation techniques to quickly verify calculation results.
* Analyze and interpret data presented using averages and weighted means.
The course begins with core definitions and number properties, systematically progressing through essential concepts like percentages and ratios. Each section includes detailed written explanations and examples demonstrating efficient calculation methods and logical problem breakdowns. This course is designed for absolute beginners or anyone needing a thorough review of fundamental arithmetic. No prior mathematical knowledge is required.
Start building your strong quantitative foundation 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 54m 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.