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GRE Math Prep

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Based on 71 ratings
Jackson Kailath

“Even the most motivated and intelligent student will advance more quickly under the tutelage of someone who knows the best order in which to learn things, who understands and can demonstrate the proper way to perform various skills, who can provide useful feedback, and who can devise practice activities designed to overcome particular weaknesses.”

― Anders Ericsson, Peak: Secrets from the New Science of Expertise

TARGET SCORE 330+ GRE  

In this course I will introduce you to 5 interesting tricks to solve GRE Questions:

1.Constant Product Type Problems :

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“Even the most motivated and intelligent student will advance more quickly under the tutelage of someone who knows the best order in which to learn things, who understands and can demonstrate the proper way to perform various skills, who can provide useful feedback, and who can devise practice activities designed to overcome particular weaknesses.”

― Anders Ericsson, Peak: Secrets from the New Science of Expertise

TARGET SCORE 330+ GRE  

In this course I will introduce you to 5 interesting tricks to solve GRE Questions:

1.Constant Product Type Problems :

What are these problems and how to solve them efficiently .

2.Mixtures and Alligations type problems

What are these problems and how to solve them efficiently .

3.Speed  &Time : Meeting based Question

What are these problems and how to solve them efficiently .

4.Constant R for Arithmetic Progression type problems

What are these problems and how to solve them efficiently .

5.Permutation and Combination - when to use which ? Knowing this can help you master these questions

What are these problems and how to solve them efficiently .

You will discover than acing the GRE is all about knowing all the types of problems and knowing how to solve them.

Do check the full course with the below reviews -

Our Students Speak:

⭐️⭐️⭐️⭐️⭐️

Excellent advice and clear teaching. This is class is a winner if you are committed to getting a high score on the GRE.-Christopher Slater

⭐️⭐️⭐️⭐️⭐️

This course even tells about the BASICS which other courses assume students to know. I'm loving this course. Extremely detailed and lengthy, but totally worth it for a strong mathematical foundation. - Gauri Verma

⭐️⭐️⭐️⭐️⭐️

This is the best course if you're preparing for GRE. Each section is so well, very easily explained, designed even if you are a new to this you will be able to make it through. Also the doubt clearing chat support you get is best, you won't get anywhere like this. I will recommend this course to everyone who wish to score above 330. Thank You. - Viraj K

⭐️⭐️⭐️⭐️⭐️

This course prepares you for the quants section of GRE taking you to the journey of math starting from the scratch, including all the basics you need for exam and also applies to your real life scenarios. More than helpful for other competitive exams as well. All doubts are answered well. I found no other course better than this This course serves true value for money.-Mohammad Mouzam Ibrahim

⭐️⭐️⭐️⭐️⭐️

Very nice teaching style. Increasing my confidence level.-Rohan bhatia

⭐️⭐️⭐️⭐️⭐️

Everything is explained very simply. The material is very easy to understand.-Carissa Wilkerson

⭐️⭐️⭐️⭐️⭐️

This is a no-nonsense and practical approach to the Math Section of the GRE. I haven't done math in 30 years so I'm really back to basics.-Sonya Shaykhoun

⭐️⭐️⭐️⭐️⭐️

An amazing course to take, not only does the instructor describe how to solve problems but also teaches the concept in depth which in turn builds up the confidence to solve any type of problem given. Thank you. -Khoushik Reddy

⭐️⭐️⭐️⭐️⭐️

Awesome content, covering many topics. The tutor goes an extra mile to reply quickly to your doubts and queries.-Ankita S

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What's inside

Syllabus

Structured Preparation
What is Structured Preparation ?
Best Study Technique
Problem Types
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Career center

Learners who complete GRE Math Prep will develop knowledge and skills that may be useful to these careers:
Standardized Test Preparation Instructor
A Standardized Test Preparation Instructor guides students through the quantitative sections of exams like the GRE, helping them master concepts and problem-solving strategies. This GRE Math Prep course provides the exact mastery of content and pedagogical approach necessary for success in this role. By learning "the best order in which to learn things" and "the proper way to perform various skills," you gain actionable insights into effective teaching techniques. The course's detailed explanations of constant product, mixtures, speed and time, and permutations and combinations give a future Standardized Test Preparation Instructor the deep understanding and problem-solving "tricks" to confidently mentor students towards high scores.
Operations Research Analyst
Operations Research Analysts use advanced mathematical modeling and analytical methods to optimize complex systems and decision-making processes, a field deeply aligned with the problem-solving principles of this course. The GRE Math Prep course specifically tackles problem types like Constant Product, Mixtures and Alligations, and Permutation and Combination, which are foundational to understanding optimization challenges and resource allocation. This course helps build a systematic approach to identifying and efficiently solving quantitative problems, a core competency for an Operations Research Analyst. Advanced roles in this field typically require a master's or doctoral degree.
Data Analyst
Data Analysts interpret complex datasets to inform business decisions, a role demanding strong quantitative prowess and logical reasoning. This GRE Math Prep course helps build a robust mathematical foundation, honing your ability to efficiently solve problems involving ratios, percentages, and numerical relationships, which are critical for data manipulation and interpretation. The focus on structured preparation and problem-solving techniques directly translates to analyzing real-world data challenges. This course will refine your analytical mindset, a cornerstone for success in data analysis, preparing you to approach quantitative challenges with confidence and precision.
Business Intelligence Analyst
Business Intelligence Analysts transform raw data into actionable insights for business strategy, demanding strong analytical and quantitative interpretation skills. This GRE Math Prep course helps build a solid mathematical foundation, enhancing your ability to efficiently process and understand numerical information, ratios, and rates encountered in business metrics. The course's structured approach to problem-solving, as highlighted by mastering diverse question types, directly supports the systematic analysis required to identify trends, measure performance, and present data-driven recommendations as a Business Intelligence Analyst.
Financial Analyst
A Financial Analyst evaluates investments, assesses financial performance, and advises on fiscal strategies, requiring precise quantitative skills. This GRE Math Prep course can help build a strong foundation in arithmetic, algebra, and problem-solving, which are crucial for understanding financial models and market data. The course's emphasis on efficiently tackling problems, including those involving rates and proportions, directly supports the rapid calculations and logical deductions needed daily in financial analysis. Preparing for graduate studies with this course also signifies a commitment to rigorous quantitative reasoning, essential for advanced financial roles.
Investment Banking Associate
An Investment Banking Associate performs rigorous financial analysis, valuation, and due diligence for mergers, acquisitions, and capital raises. This highly quantitative role benefits immensely from the foundational mathematical rigor provided by this GRE Math Prep course. The course helps build proficiency in arithmetic, algebra, and efficient problem-solving techniques, which are crucial for constructing financial models and interpreting complex data under pressure. Your ability to quickly and accurately solve diverse quantitative problems, honed through this preparation, is a significant asset in the demanding environment of investment banking. An advanced degree, often an MBA, is frequently pursued for career advancement.
Supply Chain Analyst
A Supply Chain Analyst optimizes the flow of goods and services, requiring strong quantitative skills to manage logistics, inventory, and efficiency. This GRE Math Prep course helps build a robust foundation in understanding and solving problems involving constant product, speed and time, and arithmetic progressions, which directly relate to optimizing delivery routes, production schedules, and inventory management. The course's emphasis on efficient problem-solving and structured preparation cultivates the analytical rigor essential for identifying bottlenecks and implementing data-driven improvements across complex supply chains.
Management Consultant
Management Consultants advise organizations on strategies to improve performance, a role that heavily relies on analytical thinking and the ability to dissect complex business problems quantitatively. This GRE Math Prep course can help build a foundation in logical reasoning and efficient problem-solving, skills directly applicable to structuring client issues and interpreting data. The course's focus on structured preparation and mastering various problem types reinforces the disciplined approach required to develop actionable solutions for diverse business challenges. Preparing for graduate education through this course demonstrates a dedication to rigorous intellectual development, an asset in consulting.
Data Scientist
A Data Scientist applies advanced analytical methods, machine learning, and statistical models to extract insights from large datasets, a role requiring robust quantitative and problem-solving abilities. This GRE Math Prep course helps build a strong mathematical foundation, essential for understanding the underlying principles of algorithms and statistical analysis. The course's focus on structured preparation and efficiently solving complex problem types cultivates the analytical mindset crucial for a Data Scientist to formulate hypotheses, interpret model results, and communicate data-driven solutions effectively. A master's or doctoral degree is very common for this profession.
Product Manager
A Product Manager guides the development and strategy of products, a role that increasingly demands data-driven decisions and analytical acumen to assess market needs and product performance. This GRE Math Prep course helps build a strong foundation in quantitative reasoning and efficient problem-solving, which are valuable for interpreting user analytics, market research, and financial projections. The course's emphasis on structured preparation and understanding various problem types fosters a logical approach to complex challenges, enabling a Product Manager to make informed strategic choices and communicate quantitative insights effectively.
Market Research Analyst
Market Research Analysts collect and interpret data to provide insights into consumer behavior and market trends. The quantitative reasoning skills refined in this GRE Math Prep course may be useful for this role. The course helps build a foundation in understanding numerical relationships, proportions, and basic combinatorics, which can be applied to survey data analysis and sampling. The emphasis on efficiently solving diverse problem types helps in approaching market data with a structured and analytical mindset, contributing to the ability to draw clear conclusions and make data-driven recommendations.
Statistician
A Statistician designs studies, analyzes data, and develops models to draw inferences and make predictions, a field fundamentally rooted in advanced mathematics and probability. While the GRE Math Prep course provides a strong quantitative refresher, it may be useful by helping to build a foundational understanding of logical and numerical reasoning. The course modules on permutations and combinations, as well as arithmetic progressions, are particularly relevant as they introduce concepts applied in probability theory and data distributions. Excelling as a Statistician typically requires a master's or doctoral degree in statistics or a related quantitative field.
Actuarial Analyst
An Actuarial Analyst assesses financial risks and uncertainties, using advanced mathematics, statistics, and probability. While this field requires highly specialized knowledge, the GRE Math Prep course may be useful by helping to build a foundational understanding of quantitative reasoning and problem-solving strategies. The course's modules on permutations and combinations are particularly relevant for grasping basic probability concepts, which underpin actuarial science. Undertaking this course demonstrates a commitment to mathematical rigor, preparing you for the intensive study and professional examinations typically required to excel as an Actuarial Analyst. Advanced degrees are common in this field.
Quantitative Modeler
A Quantitative Modeler develops and implements complex mathematical models, often within finance, engineering, or scientific research, typically requiring advanced degrees. This GRE Math Prep course may be useful by helping to build a strong foundation in arithmetic, algebra, and logical problem-solving, which are prerequisites for advanced mathematical studies. The course's focus on mastering various problem types and efficient solution strategies can enhance the analytical thinking crucial for constructing and validating sophisticated models. This structured approach to quantitative challenges helps cultivate the precision and rigor essential for a Quantitative Modeler. A master's or PhD is very common for this role.
Econometrician
An Econometrician applies statistical and mathematical methods to economic data to test theories and forecast economic trends. This highly specialized field typically requires advanced degrees. The GRE Math Prep course may be useful by helping to build a strong foundation in quantitative reasoning, arithmetic, and algebraic problem-solving. This foundational knowledge is crucial for understanding the mathematical underpinnings of econometric models. The emphasis on structured preparation for diverse problem types supports the rigorous analytical approach needed to develop and interpret complex economic models as an Econometrician. A master's or PhD in Economics or Econometrics is almost always required.

Reading list

We've selected 49 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in GRE Math Prep.
This prep course provides students with live instruction, practice questions, and personalized feedback. It is an excellent resource for students who are serious about preparing for the GRE.
Is the official guide to the GRE, and it contains real GRE questions and explanations. It is an essential resource for students who are serious about preparing for the GRE.
This tutor provides students with one-on-one instruction and personalized feedback. It is an excellent resource for students who need extra help with the GRE.
This widely adopted textbook designed for college-level quantitative reasoning courses. It provides a comprehensive introduction to mathematical concepts and their practical applications in real-world contexts, emphasizing critical thinking. It is an excellent resource for undergraduate students to build a strong foundation in quantitative literacy and is commonly used as a primary course textbook.
This textbook focuses on equipping students with the quantitative skills needed to navigate and make informed decisions in their daily lives as engaged citizens. It emphasizes the application of quantitative information to real-world scenarios in areas like finance, health, and the environment. It serves as a valuable resource for undergraduate quantitative reasoning courses, highlighting the practical relevance of the subject.
Developed by ex-McKinsey partners, this book presents a structured, seven-step approach to problem-solving used in top consulting firms. It emphasizes a highly visual, logic-tree method applicable to business and global challenges. is particularly relevant for undergraduate and graduate students interested in consulting or business, as well as working professionals seeking a robust framework for tackling complex issues. It valuable reference tool.
Published recently, this book provides a timely guide to identifying and debunking misinformation and misleading arguments, particularly those that use data, statistics, and quantitative claims. It equips readers with the critical thinking skills needed to navigate a world flooded with quantitative information. Highly relevant for all audiences seeking to become more discerning consumers of data.
Delves into how top strategy consultants approach and solve complex business problems. It provides a four-step process informed by consulting and cognitive psychology, highlighting how to avoid common biases that lead to poor decisions. This is an excellent resource for graduate students and working professionals, especially those in business, management, or consulting, offering practical insights and techniques used in the industry.
Provides a comprehensive overview of the GRE, including practice questions, strategies, and tips. It is an excellent resource for students who are preparing for the GRE.
This study group provides students with a supportive environment in which to study for the GRE. It is an excellent resource for students who want to learn from others and stay motivated.
Published recently, this book is highly relevant for developing critical thinking skills essential for analyzing and interpreting data in the modern world. It moves beyond just statistical techniques to focus on the reasoning required to evaluate quantitative information and arguments encountered daily. It is suitable for advanced undergraduate students, graduate students, and professionals working with data.
This foundational book explores the two systems of thought that drive our decisions: the fast, intuitive system and the slower, more deliberate system. Understanding these systems is crucial for recognizing cognitive biases that can impede effective problem-solving. It provides a strong theoretical background for anyone looking to improve their decision-making and analytical skills, making it valuable for undergraduate and graduate students, as well as professionals. While not a how-to guide, it offers deep insights into the human mind's approach to problems.
Provides a comprehensive overview of the GRE, including practice questions, strategies, and tips. It is an excellent resource for students who are preparing for the GRE.
Provides a clear and concise introduction to systems thinking, explaining how to perceive and understand the interconnectedness of elements within a system. This perspective is vital for identifying root causes of problems and developing effective, long-term solutions. It is valuable for advanced undergraduates, graduate students, and professionals across various fields who need to analyze and address complex issues with multiple interacting factors.
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Following up on 'Thinking, Fast and Slow,' this book examines the impact of 'noise' – unwanted variability in judgments – on decision-making in various fields. It provides insights into identifying and reducing noise to improve the quality of decisions and problem resolution. This contemporary and relevant book for graduate students and professionals, particularly those involved in complex decision-making processes or system design.
A classic in the field of mathematical problem-solving, Pólya's book outlines a four-step method: understanding the problem, devising a plan, carrying out the plan, and looking back. While focused on mathematics, its principles are widely applicable to problem-solving in any domain. is highly recommended for high school students and undergraduates, particularly those in STEM fields, and provides a solid framework for approaching unfamiliar problems.
Written by a leading statistician, this book provides an engaging and accessible introduction to the principles of statistical thinking and how to make sense of data in the real world. It emphasizes understanding uncertainty and drawing valid conclusions from data. It is highly relevant for anyone needing to interpret statistics encountered in news, research, or professional life, suitable for undergraduate, graduate, and professional audiences.
Introduces a diverse toolkit of models used to analyze complex systems and make data-driven decisions in various fields, including social science, business, and public policy. It's highly relevant for applying quantitative reasoning to contemporary challenges and understanding how models can provide insights. Suitable for advanced undergraduate students, graduate students, and professionals working with complex data and systems.
Provides a four-step process to overcome common decision-making biases and make better choices. It offers practical strategies and real-world examples to help individuals navigate difficult decisions. This highly applicable book for students and professionals at all levels, providing a clear and actionable framework for improving decision quality in both personal and professional contexts.
Focusing on the essential statistical component of quantitative reasoning, this book provides a clear introduction to statistical concepts and methods without requiring advanced mathematical background. It is particularly useful for students and professionals in scientific disciplines who need to understand and interpret data effectively. It helps solidify understanding of how to approach quantitative problems involving variability and uncertainty.
Originally written for Japanese schoolchildren, this book offers a simple and accessible introduction to problem-solving frameworks. It emphasizes practical thinking and provides straightforward techniques applicable to various situations through real-life examples. is excellent for high school students and undergraduates seeking a foundational understanding of structured problem-solving approaches. It serves as a great starting point before delving into more complex methodologies.
Introduces Design Thinking as a human-centered approach to creative problem-solving. It provides a framework and tools for understanding user needs, brainstorming ideas, prototyping, and testing solutions. This is particularly useful for students and professionals in design, business, and innovation fields, offering a practical methodology for tackling ill-defined problems and generating innovative solutions.
Although originally aimed at participants in mathematics competitions, this book provides an exceptional guide to developing versatile problem-solving skills crucial for quantitative reasoning. It encourages creative thinking and a deeper engagement with mathematical ideas through challenging problems. It is highly recommended for motivated high school and undergraduate students looking to elevate their problem-solving prowess.
Offers an inside look at the problem-solving methodologies and tools used by McKinsey & Company, a leading management consulting firm. It provides practical insights into structuring thinking, conducting analysis, and presenting findings. This is particularly valuable for students and professionals interested in consulting or adopting a structured, analytical approach to business problems.
Drawing on her experience as a professional poker player, Annie Duke provides a framework for making better decisions in situations with incomplete information and uncertainty. is highly relevant for understanding probabilistic thinking and managing risk in problem-solving. It's a valuable read for students and professionals who frequently face decisions with uncertain outcomes.
A classic short book that remains highly relevant today, this work exposes the many ways statistics can be manipulated and misused to mislead. It's essential reading for developing a critical eye towards quantitative information presented in the media and everyday life. It serves as an excellent cautionary tale and strengthens quantitative literacy by highlighting potential pitfalls in data interpretation.
From the Stanford d.school, this book offers a collection of exercises and activities rooted in design thinking to help individuals develop their creative problem-solving abilities. It's a hands-on guide for fostering innovation and tackling challenges in unconventional ways. is great for students and professionals who want to actively practice creative approaches to problem-solving and inject more innovation into their work.
Offers an intuitive and engaging explanation of core statistical concepts without relying on complex mathematical formulas. It focuses on the logic and power of statistics in understanding the world, making it an excellent resource for those who find statistics intimidating. It's valuable for high school students, undergraduates, and general readers looking for a clear and accessible introduction to statistical reasoning.
Presents a structured approach to making better decisions, outlining a clear framework with practical tools and techniques. It helps readers identify their values, set objectives, and evaluate alternatives systematically. This highly practical guide for students and professionals at all levels looking to improve their decision-making skills, which are intrinsically linked to problem-solving.
Offers a holistic approach to problem-solving, focusing on both the necessary mindset and practical tools. It encourages creativity, adaptability, and continuous improvement. With real-world examples and techniques, it's a useful guide for students and professionals looking to develop a well-rounded problem-solving skill set.
Explores how experienced professionals make decisions in complex, time-pressured situations, focusing on the power of intuition and recognition-primed decision making. It challenges traditional rational decision-making models and offers insights into expert problem-solving. This valuable read for graduate students and professionals in high-stakes environments, providing a deeper understanding of how expertise influences problem resolution.
Delves into the common difficulties people face in understanding and using numbers and quantitative information in everyday life. It highlights the psychological aspects of quantitative literacy and provides insights into how to better interpret and communicate numerical data. It's a highly relevant and accessible read for anyone at any level looking to improve their critical quantitative literacy and avoid common pitfalls.
This textbook is designed for quantitative literacy courses, focusing on helping students develop the ability to reason with numbers and data in various contexts. It emphasizes understanding the meaning behind quantitative information and applying mathematical concepts to real-world problems. It's a solid resource for undergraduate students building their foundational quantitative reasoning skills.
This official guide from the GRE test developers provides authentic practice questions with explanations, covering the range of quantitative reasoning topics assessed on the GRE. It is an essential resource for graduate school applicants preparing for the GRE, offering insight into the test format and question types. It's primarily a practice tool but helps solidify understanding through exposure to real test items.
This classic book offers a broad and accessible exploration of fundamental mathematical concepts and their interconnectedness. It provides valuable context for understanding the ideas underpinning quantitative reasoning across various fields. While not a textbook in quantitative reasoning specifically, it's a foundational read for motivated undergraduate students and anyone seeking a deeper appreciation for the mathematical landscape.
Is designed to help students transition from a computational focus in mathematics to a more abstract and rigorous way of thinking. It introduces the fundamental concepts and techniques of mathematical reasoning, such as proofs and logical arguments. It is highly valuable for motivated high school students and undergraduate students beginning to engage with more advanced mathematical concepts and formal reasoning.
Focuses on the Quantitative Reasoning and Mathematics sections of the GRE. It provides comprehensive coverage of the material, including practice questions and strategies.
Offers a collection of 14 diverse techniques and frameworks for approaching and solving problems. It provides practical tools for analysis, creativity, and decision-making. This useful reference for students and professionals looking to expand their repertoire of problem-solving methods and apply different techniques to various types of challenges.
Ray Dalio, the founder of Bridgewater Associates, outlines the principles he developed and used to achieve success in life and work, including his approach to decision-making and problem-solving. offers a unique perspective on tackling challenges based on radical truth and transparency. It thought-provoking read for advanced undergraduate students, graduate students, and professionals interested in a principle-driven approach to problem-solving and leadership.
Although targeted at legal and policy professionals, this book offers a systematic guide to creative problem-solving and effective judgment rooted in insights from statistics, decision science, and psychology. It's a valuable resource for graduate students and professionals in fields requiring rigorous analysis, judgment, and decision-making in complex social contexts.
Focuses on developing general problem-solving strategies through engaging mathematical puzzles and problems. The techniques and habits of mind fostered are directly applicable to quantitative reasoning challenges. It is often used in introductory college courses to help students develop their analytical and problem-solving skills in a collaborative setting.
Considered a more advanced resource for quantitative aptitude, this book is widely used by students preparing for challenging competitive exams like the CAT. It provides in-depth coverage of quantitative concepts and offers numerous complex problems with detailed solutions and alternative approaches. is valuable for undergraduate students seeking to deepen their quantitative problem-solving skills for rigorous assessments.
Provides a concise and practical guide to both problem-solving and decision-making processes. It offers clear models and frameworks for effective thinking and action. This good introductory or supplementary text for high school and undergraduate students, as well as professionals seeking a straightforward overview of key concepts and techniques.
Specifically targets the data interpretation and data analysis section of competitive exams like the CAT. It provides focused instruction and extensive practice on how to understand, analyze, and draw conclusions from various types of data presented in tables, charts, and graphs. It valuable resource for undergraduate students and professionals preparing for exams requiring strong data analysis skills.
A classic in the study of creativity, Wallas's book introduced the four-stage model of the creative process: preparation, incubation, illumination, and verification. Understanding these stages can be beneficial for approaching problems that require innovative solutions. While an older text, its insights into the creative aspect of problem-solving remain relevant for students and professionals interested in fostering creativity.
This accessible and engaging book uses humor and illustrations to explain common logical fallacies. Understanding logical fallacies is crucial for evaluating quantitative arguments and avoiding flawed reasoning. While not strictly mathematical, it strengthens the logical thinking skills that underpin quantitative reasoning. It's a fun and insightful read for anyone at any level.
While covering both verbal and non-verbal reasoning, this book includes a significant section on logical reasoning applied to quantitative problems. It provides extensive practice exercises for developing analytical and logical thinking skills crucial for quantitative reasoning, particularly in test-taking contexts. It useful supplementary resource for high school and undergraduate students preparing for standardized tests.

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