❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course, 'Weighted Averages, Mixtures and Alligations', is designed to help students understand and tackle Mixtures and Alligations problems using methods of logic and verbal reasoning. Students will learn to solve difficult problems in less than a minute having mastered various shortcut tricks. These skills can be applied in the math section of a majority of Test Prep exams.

The course takes students on a step by step journey so that they will be able to tackle even the most difficult problems with ease. It includes more than 25 real life examples of Mixtures and Alligations which will surely keep students hooked whilst learning.

The course was created by Ganesh Pai, Founder of Don't Memorise. A voice over artist has been used to keep a neutral tone to the audio of all lessons. Ganesh has written the content for over 1,300 math related videos, ranging from middle school math to Test Prep lessons that are available on his website Don't Memorise (dot) com.

By the end of the course, students will be able to solve Weighted Averages, Mixtures and Alligations problems with ease.

[Applications]
Completing this course will equip learners with the knowledge and skills to apply the concepts of Weighted Averages, Mixtures and Alligations to a variety of Test Prep exams, such as GMAT, GRE, CAT, Bank PO, and SSC CGL. Learners will be able to understand and tackle Mixtures and Alligations problems using methods of logic and verbal reasoning, and will be able to solve difficult problems in less than a minute having mastered various shortcut tricks. With the help of the instructor, Ganesh Pai, Founder of Don't Memorise, learners will be able to understand the concepts and apply time saving techniques to help them solve these problems in the most efficient way.

[Career Paths]
Recommended career paths for learners of this course include:

1. Test Prep Tutor: Test Prep Tutors help students prepare for exams such as the GMAT, GRE, CAT, Bank PO, and SSC CGL. They provide guidance on topics such as Weighted Averages, Mixtures and Alligations, and use methods of logic and verbal reasoning to help students understand and tackle problems. As the demand for test prep tutors increases, the need for tutors with expertise in Weighted Averages, Mixtures and Alligations is also growing.

2. Educational Content Creator: Educational Content Creators create content for educational websites, YouTube channels, and other online platforms. They use their knowledge of Weighted Averages, Mixtures and Alligations to create content that is engaging and relevant to learners. As the demand for online learning increases, the need for educational content creators with expertise in Weighted Averages, Mixtures and Alligations is also growing.

3. Educational Technology Consultant: Educational Technology Consultants help organizations develop and implement technology-based solutions for learning. They use their knowledge of Weighted Averages, Mixtures and Alligations to create solutions that are tailored to the needs of learners. As the demand for technology-based learning solutions increases, the need for consultants with expertise in Weighted Averages, Mixtures and Alligations is also growing.

4. Math Teacher: Math Teachers help students understand and apply mathematical concepts. They use their knowledge of Weighted Averages, Mixtures and Alligations to help students understand and tackle problems. As the demand for math teachers increases, the need for teachers with expertise in Weighted Averages, Mixtures and Alligations is also growing.

[Education Paths]
Recommended Degree Paths:
1. Bachelor's Degree in Mathematics: A Bachelor's Degree in Mathematics is a great way to gain a comprehensive understanding of the fundamentals of mathematics, including topics such as algebra, calculus, geometry, and statistics. This degree will also provide students with the skills necessary to apply mathematics to real-world problems. Additionally, this degree will prepare students for a variety of careers in the field of mathematics, such as teaching, research, and data analysis.

2. Master's Degree in Applied Mathematics: A Master's Degree in Applied Mathematics is a great way to gain a deeper understanding of the application of mathematics to real-world problems. This degree will provide students with the skills necessary to solve complex problems in a variety of fields, such as engineering, finance, and economics. Additionally, this degree will prepare students for a variety of careers in the field of applied mathematics, such as data analysis, software development, and research.

3. Doctorate Degree in Mathematics: A Doctorate Degree in Mathematics is a great way to gain a comprehensive understanding of the fundamentals of mathematics, as well as the application of mathematics to real-world problems. This degree will provide students with the skills necessary to solve complex problems in a variety of fields, such as engineering, finance, and economics. Additionally, this degree will prepare students for a variety of careers in the field of mathematics, such as teaching, research, and data analysis.

Developing Trends:
1. Data Science: Data Science is a rapidly growing field that combines mathematics, statistics, and computer science to analyze large datasets and uncover patterns and insights. This field is becoming increasingly important in a variety of industries, such as finance, healthcare, and retail. As such, there is a growing demand for individuals with a strong background in mathematics and data science.

2. Machine Learning: Machine Learning is a rapidly growing field that combines mathematics, statistics, and computer science to develop algorithms that can learn from data and make predictions. This field is becoming increasingly important in a variety of industries, such as finance, healthcare, and retail. As such, there is a growing demand for individuals with a strong background in mathematics and machine learning.

3. Artificial Intelligence: Artificial Intelligence is a rapidly growing field that combines mathematics, statistics, and computer science to develop algorithms that can learn from data and make decisions. This field is becoming increasingly important in a variety of industries, such as finance, healthcare, and retail. As such, there is a growing demand for individuals with a strong background in mathematics and artificial intelligence.