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30-Day Money-Back Guarantee

This course includes:

  • 7 hours on-demand video
  • 3 articles
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
Teaching & Academics Test Prep GMAT

GMAT Math Prep Course | Master GMAT Problem Solving Concepts

A comprehensive 100+ lecture series on GMAT Quantitative Problem Solving. Learn from a GMAT 740 instructor.
Rating: 3.9 out of 53.9 (32 ratings)
305 students
Created by Manan Manwani
Last updated 7/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • GMAT Math Problem Solving Techniques
  • Tips and Tricks to solve Math problems in the GMAT exam
  • Solved Questions on a variety of topics asked in the GMAT exam
  • Master Quantitative section of GMAT
  • GMAT Prep for MBA Admissions in US, Canada, UK

Requirements

  • Just a pen and a paper.

Description

7.5 hours | 100+ lectures | GMAT 740 instructor | High Quality | Super Low Price | Master GMAT Math!

Recent Reviews-

  • "Excellent Teaching methodology, all concepts explained crystal clear !! Great Job by the instructor."

  • "Excellent course. The concepts are explained beautifully through many good quality questions."

The internet is full of expensive preparatory material for GMAT. When there is so much information at once, it becomes difficult to kick off  your preparation due to an overwhelming amount of resources to start off with.

This course contains 100+ problem solving lectures to help you prepare for the GMAT Exam.

What you get:

  • 7+ hours of problem solving videos covering over 15 different topics asked in Quant section of the GMAT exam.

  • 100+ lectures to strengthen your problem solving concepts.

  • Tips and tricks to solve questions quickly in the GMAT exam.

All this without burning a hole in your pocket!

This course covers important topics like-

  1. Percentage and Discount

  2. Time and Distance Problems

  3. Work Rate Problems

  4. Simple and Compound Interest

  5. Averages

  6. Ratios

  7. Algebra

  8. HCF & LCM

  9. Divisibility Rules

  10. Permutations and Combinations

  11. Probability

  12. Triangles

  13. Quadrilaterals

  14. Circles

  15. Surface Area and Volumes

This course is being provided at the lowest possible price in order to help more and more people achieve their GMAT dreams. If I was able to crack the GMAT through self-study, anyone can. And this is the right place to start!

Who this course is for:

  • Students aiming for a 700+ score in GMAT.
  • Beginners who want to understand about GMAT Math
  • Students looking for a comprehensive GMAT Problem Solving Guide
  • Students who are already preparing for GMAT.
  • Students looking for a self study course for GMAT Math

Course content

11 sections • 113 lectures • 7h 14m total length

  • Preview00:51
  • Study Notes
    00:24

  • Averages Concept
    01:47
  • Problem 1
    05:05
  • Preview02:46
  • Problem 3
    04:02
  • Problem 4
    03:03
  • Problem 5
    05:12

  • Ratio Concept
    02:30
  • Problem 1
    03:08
  • Problem 2
    03:17
  • Problem 3
    02:06
  • Problem 4
    02:07
  • Problem 5
    02:28

  • Percentage and Discount Concept
    04:16
  • Profit and Loss Concept
    04:15
  • Problem 1
    03:10
  • Problem 2
    03:09
  • Preview03:33
  • Problem 4
    04:16
  • Problem 5
    04:24
  • Problem 6 - Venn Diagram
    06:32
  • Problem 7
    05:01
  • Problem 8
    04:21
  • Problem 9
    05:19

  • Time and Distance Concept
    01:54
  • Problem 1
    02:46
  • Problem 2
    03:45
  • Problem 3
    05:57
  • Problem 4
    07:49
  • Problem 5
    03:55
  • Problem 6
    05:50
  • Problem 7
    04:06
  • Problem 8
    02:51
  • Problem 9
    07:01

  • Work Rate Concept
    04:20
  • Problem 1
    04:38
  • Problem 2
    03:41
  • Problem 3
    02:38
  • Problem 4
    04:32
  • Problem 5
    04:09
  • Problem 6
    08:21
  • Preview03:07
  • Problem 8
    03:59
  • Problem 9
    05:27

  • Interests Concept
    05:14
  • Problem 1
    01:53
  • Problem 2
    03:24
  • Problem 3
    03:18
  • Problem 4
    02:51
  • Problem 5
    03:01

  • Divisibility Rules
    07:03
  • Please Read
    00:14
  • HCF and LCM Concept
    05:44
  • Permutations and Combinations Concept
    06:25
  • Probability Concept
    06:19
  • Problem 1
    02:57
  • Problem 2
    02:39
  • Problem 3
    03:46
  • Problem 4
    05:30
  • Problem 5
    01:53
  • Problem 6
    04:21
  • Problem 7
    01:59
  • Problem 8
    02:08
  • Problem 9
    01:58
  • Problem 10
    02:45
  • Problem 11
    03:01
  • Problem 12
    03:14
  • Problem 13
    04:05
  • Problem 14
    04:06
  • Problem 15- Dice Problem
    03:01
  • Problem 16- Cards Problem
    03:19
  • Problem 17
    03:29
  • Problem 18
    03:43
  • Problem 19
    02:35
  • Problem 20
    03:18

  • Algebra Concept
    05:58
  • Problem 1
    02:56
  • Problem 2
    02:53
  • Problem 3
    02:41
  • Problem 4
    03:18
  • Problem 5
    05:32
  • Problem 6- Inequalities
    04:51
  • Problem 7
    02:33
  • Problem 8
    05:44
  • Problem 9
    03:32
  • Problem 10
    03:03
  • Problem 11
    02:49
  • Problem 12
    02:33
  • Problem 13
    05:37
  • Problem 14
    05:32
  • Problem 15
    05:17

  • Lines and Angles Concept
    03:14
  • Triangle Concept
    07:21
  • Quadrilateral Concept
    03:54
  • Circle Concept
    04:00
  • Surface Area and Volumes Concept
    11:04
  • Problem 1
    02:41
  • Problem 2
    02:51
  • Problem 3
    04:04
  • Problem 4
    03:11
  • Problem 5
    03:01
  • Problem 6
    03:44
  • Problem 7
    03:40
  • Problem 8
    03:30
  • Problem 9
    03:36
  • Problem 10
    05:05
  • Problem 11
    03:02
  • Problem 12
    03:53
  • Problem 13
    03:20
  • Problem 14
    03:07
  • Problem 15
    03:59

Instructor

Manan Manwani
Engineer | GMAT Tutor | GMAT 740
Manan Manwani
  • 3.8 Instructor Rating
  • 143 Reviews
  • 843 Students
  • 2 Courses

Manan Manwani is an engineer from one of the premier institutes of India. He scored 740 on GMAT in 2019. Since then, he has been mentoring students to get 700+ on the GMAT and has helped build essays for B-School Applications.

His other skills include Data Science, Machine Learning and Analytics.

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