Learn Mathematics in Python

Learn Mathematics in Python, available at $19.99, has an average rating of 3.4, with 23 lectures, based on 10 reviews, and has 2023 subscribers.

You will learn about Pre Algebra Algebra Linear Algebra Abstract Algebra Integral Calculus Statistics Pure Mathematics Differential Calculus Graphing Trigonometry Regression and Data visualization Correlation Coefficient Latex in Python Complex Numbers System Applied Mathematics in Python Probability Matplotlib, Numpy, and Sympy Coordinate Geometry Applied Mathematics Functional Mathematics This course is ideal for individuals who are Maths lover in python It is particularly useful for Maths lover in python.

Enroll now: Learn Mathematics in Python

Summary

Title: Learn Mathematics in Python

Price: $19.99

Average Rating: 3.4

Number of Lectures: 23

Number of Published Lectures: 23

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

Pre Algebra

Algebra

Linear Algebra

Abstract Algebra

Integral Calculus

Statistics

Pure Mathematics

Differential Calculus

Graphing

Trigonometry

Regression and Data visualization

Correlation Coefficient

Latex in Python

Complex Numbers System

Applied Mathematics in Python

Probability

Matplotlib, Numpy, and Sympy

Coordinate Geometry

Applied Mathematics

Functional Mathematics

Who Should Attend

Maths lover in python

Target Audiences

Maths lover in python

< Step-by-step explanation of more than 7.5 hours of video lessons on python>

<Instant reply to your questions asked during lessons>

<Weekly live talks on python and data science. You can raise your questions in a live session as well>

<Helping materials like notes, examples, and exercises>

<Solution of quizzes and assignments>

Learn Mathematics in Python:

In this course, you will learn mathematics through coding in Python. We will start with basic mathematical coding in python and end by using the teaching techniques “Maxims of the teaching”(simple to abstract). In the beginning, we will do simple math algorithms and formulas in Python. We will also use the screen board before coding in python to illustrate the concepts and understanding of definitions and examples. After an hour of dipping into the course, you will jump toward the next level of learning. Then we will switch our techniques from basics math to algebra. Algebra coding is super interesting in Python. We will define the algebra topics by examples and code them in Python. Graphing of different algebraic equations is one of the extra interesting parts of this section.

Our next will be linear algebra, We will master matrices, determinants, the Gauss method, linear combination, basis, vectors, norms, linear dependence, and independence.

In statistics, you will learn to mean, mode, median, standard deviation, regression, and correlation analysis for both group and ungrouped data by coding in Python. We will also learn about probability along with statistics.

Calculus:is an advanced topic and here we will master limits and continuity, differentiation, integration, plane curve problems, and coordinate geometry by coding in Python.

Sketching: We have learned to sketch mathematical functions at high school but do you know how this is super interesting in Python by using Python libraries like Matplotlib and Numpy?

Trigonometry: We shall learn the trigonometric identities, angles in radians, and degrees through coding in Python

Regression and Correlation Analysis: Here we shall learn the coding of regressional and correlational data in Python. We will plot the scattering curves as well to show the data visualization in Python.

Complex Numbers System:A comprehensive discussion has been made about complex number systems. How to add, subtract, multiply, and how find the argument of complex numbers through coding in Python.

Latex in Python: This section includes the abstract equation in Python. Latex is another library of Python. How to write mathematics in Python. We shall do a comprehensive discussion in this section.

Course Objective:

1. We want o give the next level of understanding of mathematics from casual calculation to the use of Python.

2. Learning new techniques of learning mathematics.

3. Explanation of simple and easy concepts by the use of Python

4. Making learning possible for every student to learn mathematics.

5. New exploration for all levels of learners.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Basic Math

Lecture 3: Basic Math in Python

Chapter 2: Algebra

Lecture 1: Solution of quadratic equation

Lecture 2: Solution of quadratic equation in Python

Chapter 3: Variables in Python

Lecture 1: Variables in Python

Chapter 4: Trigonometry in Python

Lecture 1: Trigonometry in Python

Chapter 5: Pre Algebra and Algebra in Python

Lecture 1: Coordinate Axis in Python

Lecture 2: Example

Lecture 3: Labelling

Lecture 4: Labelling 2

Lecture 5: Linear, Quadratic and Cubic Equations in Python

Chapter 6: Sketching

Lecture 1: Drawing a graph in Matplotlib

Lecture 2: Example

Lecture 3: Examples

Chapter 7: Exponential and Logarithmic Functions

Lecture 1: Exponential and Logarithmic Functions in Python

Chapter 8: Linear Functions, Polynomials and Complex Number System

Lecture 1: Linear Functions, Polynomials and Complex Number System in Python

Chapter 9: Vectors and Data Visualization Operation

Lecture 1: Vectors and Data Visualization Operation in Python

Chapter 10: Linear Algebra

Lecture 1: Linear Combination and Inner Product Space in Python

Lecture 2: Vectors and Scalars in Python

Lecture 3: Example Codes in Python

Chapter 11: Statistics in Python

Lecture 1: Mean, Median, Mode and Standard Deviation in Python

Chapter 12: Calculus in Python

Lecture 1: Calculus in Python

Instructors

AD Chauhdry
Researcher, Mathematician, and Data Scientist

Dr. La Vergne Thatch
STREaM_Tutor: Love and Lessons

Rating Distribution

1 stars: 2 votes

2 stars: 2 votes

3 stars: 1 votes

4 stars: 0 votes

5 stars: 5 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!