GMAT Number Theory for Rookies

Basic GMAT Arithmetic Prep course

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Description

This course will introduce you to the GMAT Quantitative section and will provide you with the basic arithmetic tools you need to ace Number Theory questions in the GMAT. 

The GMAT Quantitative section is aimed to measure your analytical ability with numerical reasoning situations.   It is part of the  Graduate Management Admission Test (GMAT), a requisite for admission into most Business school programs.

The course comprehends:

A review of the Data Sufficiency (DS) question structure:  Definition of Data Sufficiency, the meaning of Data Sufficiency answer choices,  examples and a general strategy to DS.

Basic Arithmetics built on:

(1) Number Theory for Fractions and Decimals:  Operations with Fractions, Fractions vs Decimals, Powers of Decimals, Properties of Exponents and Roots, Place Values of Digits in Real Numbers, Rationalization;

(2)   Number Theory of Integers:  Integer Parity, Factors and Multiples, Number of Factors, Divisibility of Powers of Integers, Least Common Multiple and Greatest Common Divisor.   

This course supposes a strong foundation to further arithmetic knowledge for the GMAT Quant section.  The course includes theory presentation (video lectures), solved examples, and practice material (questions solved and explained) that can be done by the student as homework.   

The duration of the course covers about 65 min of instruction and it can be covered at a different pacing according to the circumstances of each learner.   




What You Will Learn!

  • Know the structure of the GMAT Quantitative section
  • Understand and get ready to tackle the GMAT Data Sufficiency question format
  • Understand the essential properties of Number Theory and its applications to solving GMAT Quantitative questions with Fractions and Decimals
  • Understand the essential properties of Number Theory and its applications to solving GMAT Quantitative questions about Integers

Who Should Attend!

  • Graduate school candidates
  • Prospective MBA Candidates