Basic Mathematics and Statistics for Non-Majors (Theory)

Fundamentals of Mathematics and Statistics for Non-Majors <Theory>

We will use Python's basic grammar to cover the theory and practice of differentiation, linear algebra, probability, and statistics .

Running towards developing a new career, from data analysis to artificial intelligence

Have you ever felt like you needed a foundation in math to understand the principles?

From theory to practice, we will build a solid foundation in calculus, linear algebra, probability, and statistics.

(*This course is a theory course. Separate registration is required for the practical course.)

Learn about these things

function

• Understanding basic function terminology

• Comparing mathematical and programming functions

• Practice functional expressions on various data

• Definition of the concept of linear function

  
  

• Understanding various nonlinear functions

Differential theory

• Differentiation Concepts and Definitions

• Understanding derivatives

• Geometric meaning of differentiation

Linear algebra theory

• linear algebra

  Understanding operations, inverse matrices, and equations of lines

• Understand the difference between scalars, vectors, and matrices

• Understand square matrices, inverse matrices, identity matrices, and transpose matrices.

Statistics Basics

• Understanding the scope of what is possible through statistical data analysis

• Data distribution representation

• Understand the concepts of trials, sample spaces, and events that require probability.

Distributional inference theory

• Understanding the characteristics of the normal distribution

• Calculating probability values with data

Things to note before taking the course