Learn Mathematics 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.

Rating Distribution

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• 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!