Prep for GRE Subject Math Exam - Module1:Basics

Course Overview

[Course title]: Prep for GRE Subject Math Exam - Module1:Basics[Course content]: Solve subject math exam problems accurately and FAST!




What you'll learn:


This course is designed to help learners prepare for the GRE Subject Math Exam. It covers all the pre-calculus material needed to excel in the exam, as well as techniques for solving problems quickly and accurately. Topics covered include solving problems using graphs, analytic geometry, polynomials, trigonometry, important formulas to memorize, and most common derivatives, anti-derivatives, and Taylor Expansions. The course is designed to review all that is necessary to get learners up to speed and solving real exam problems. See the free intro lecture to get more details.

[Applications]
Upon completion of this course, students will be able to apply the knowledge and techniques learned to solve GRE Subject Math Exam problems accurately and quickly. They will be able to use graphs, analytic geometry, polynomials, trigonometry, and important formulas to solve problems. Additionally, they will be able to use derivatives, anti-derivatives, and Taylor Expansions to solve problems. This course is designed to help students excel in the GRE Subject Math Exam.

[Career Paths]
Career paths recommended to learners of this course include:

1. Mathematics Teacher: Mathematics teachers are responsible for teaching students of all ages the fundamentals of mathematics. They must be knowledgeable in the subject and be able to explain concepts in a way that is understandable to their students. With the increasing demand for STEM-related jobs, mathematics teachers are in high demand.

2. Data Scientist: Data scientists are responsible for analyzing large amounts of data and using it to make decisions. They must be able to interpret data and use it to create models and algorithms. Data scientists must also be able to communicate their findings to stakeholders. This is a rapidly growing field, and those with a strong background in mathematics are well-suited for this role.

3. Actuary: Actuaries are responsible for analyzing and predicting the financial costs of risk and uncertainty. They must be able to use mathematics and statistics to assess the probability of certain events occurring. Actuaries must also be able to communicate their findings to stakeholders. This is a highly sought-after role, and those with a strong background in mathematics are well-suited for this role.

4. Quantitative Analyst: Quantitative analysts are responsible for analyzing large amounts of data and using it to make decisions. They must be able to interpret data and use it to create models and algorithms. Quantitative analysts must also be able to communicate their findings to stakeholders. This is a rapidly growing field, and those with a strong background in mathematics are well-suited for this role.

[Education Paths]
Recommended Degree Paths:

1. Mathematics: Mathematics is a broad field of study that covers a wide range of topics, including calculus, algebra, geometry, and statistics. It is a popular choice for those looking to pursue a career in engineering, finance, or computer science. Developing trends in mathematics include the use of machine learning and artificial intelligence to solve complex problems, as well as the use of data science to analyze large datasets.

2. Statistics: Statistics is the study of data and its applications. It is used to analyze and interpret data, and to make predictions and decisions. Developing trends in statistics include the use of big data and data mining to uncover patterns and trends in large datasets, as well as the use of machine learning and artificial intelligence to make predictions and decisions.

3. Computer Science: Computer science is the study of computers and their applications. It covers a wide range of topics, including programming, algorithms, data structures, and software engineering. Developing trends in computer science include the use of artificial intelligence and machine learning to solve complex problems, as well as the use of cloud computing and distributed systems to store and process large amounts of data.

4. Engineering: Engineering is the application of science and mathematics to solve real-world problems. It covers a wide range of topics, including electrical engineering, mechanical engineering, and civil engineering. Developing trends in engineering include the use of robotics and automation to improve efficiency, as well as the use of 3D printing and additive manufacturing to create new products.