Quantitative Aptitude | Quantitative Aptitude Shortcuts | Maths Tricks | Math Class | Great Learning - Naukri Jobs Courses


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Saturday 10 April 2021

Quantitative Aptitude | Quantitative Aptitude Shortcuts | Maths Tricks | Math Class | Great Learning

🔥 Complete the Quantitative Aptitude Basics Course and get your free certificate of completion on the course, Register Now: https://glacad.me/3a5zocl🔥

Watch Great Learning’s video on Quantitative Aptitude Basics! Mathematics plays a vital role in all aspects of life, whether in everyday matters such as time tracking, driving, cooking, or jobs such as accounting, finance, banking and engineering. This knowledge of basic mathematics is known as quantitative aptitude and is essential across various disciplines. Thus, understanding the importance of quantitative aptitude, we have brought you a video discussing the same.

Great Learning brings you this video “Quantitative Aptitude Basics”, which aims at helping you get started with the basics of it. We start off by understanding what Order of Operations is followed by understanding PEMDAS. Next, we look at Linear Equations and Solving for Variables with Two Equations and will also take you through a variety of questions based on it. Then we understand Quadratic Equations and solve a sufficient number of questions on the topic. Following this, we give you an understanding of Inequalities and Inequalities with Ranges and explain the concept thoroughly with the help of a number on problems based on these topics.

00:00 Introduction
00:10 Agenda
02:28 Order of Operations: PEMDAS
05:09 Linear Equations
14:07 Solving for Variables with Two Equations
18:20 Quadratic Equations
30:43 Inequalities
36:34 Inequalities with Ranges
40:34 Percentages

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About Great Learning:
– Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.

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