So you want to study statistics in college. What courses do you need to take? Not only do you take courses directly related to statistics, but you also take courses similar (if not different) to those taken by students majoring in mathematics. The following is an overview of the core courses that generally constitute the bachelor’s degree in statistics. Different colleges have different requirements for degrees, so you must consult your college or university catalogue to determine what you need to graduate in statistics. Calculus is the basis of many other fields of mathematics. A typical sequence of stones involves at least three courses of treatment. There are some changes in how these courses divide information. Calculus professors solve problems and develop numerical skills, which are important for statistics. In addition, the knowledge of calculus is necessary to prove the statistical results. Calculus 1: In the first course of calculus sequence, you will learn to think carefully about functions and explore topics such as limits and continuity. The main focus of this class will shift to the derivative, which calculates the slope of the line tangent to the graph at a given point. At the end of the course, you’ll learn about integrals, which are areas for calculating regions with strange shapes. Calculus II: In the second lesson of calculus sequence, you will learn more about the integral process. The integral of a function is usually difficult to calculate its derivatives, so you’ll understand different strategies and techniques. Another major theme of this course is Infinite Sequences and Series. This topic visually examines the infinite number lists and what happens when we try to add them together. Calculus 3: The basic assumption of Calculus 1 and Calculus 2 is that we only deal with functions of one variable. In the most interesting applications, real life is much more complex. So we generalize what we already know about calculus, but now there are many variables. As a result, the results can no longer be depicted on the drawing, but need three (or more) dimensions to illustrate. In addition to calculus sequences, there are other mathematics courses that are important for statistics. They include the following courses: linear algebra: linear algebra deals with the solution of a system of linear equations, which means that the highest power of a variable is the first power. Although equation 2x+3=7 is a linear equation, the equation most interested in linear algebra involves many variables. Matrix topics are developed to solve these equations. Matrix has become an important tool for data storage in statistics and other disciplines. Linear algebra is also directly related to the field of regression in statistics. Probability: Probability is the basis of many statistics. It gives us a way to quantify opportunistic events. Beginning with the definition of basic probability from set theory, this course will turn to more advanced topics of probability theory, such as conditional probability and Bayesian theorem. Examples of other topics may include discrete and continuous random variables, moments, probability distributions, laws of large numbers and central limit theorems. Practical analysis: This course is a careful study of the real number system. In addition, the concepts of limit and continuity in calculus are strictly developed. Many theorems in calculus have not been proved. In the analysis, the purpose is to prove these theorems with deductive logic. Learning proof strategies are important for developing clear thinking.