Learn Mathematics in Python

🧮 Master Mathematics through Python with AD Chauhdry!

🚀 Course Title: Learn Mathematics in Python

👀 Course Headline: Shortest way of learning algebra, calculus, statistics, trigonometry, and linear algebra through coding in Python

🎓 Course Description:

Dive into the world of mathematics where Python is your key to unlocking complex concepts. In this comprehensive online course, you'll embark on a journey through the realms of mathematics, learning each topic through the power of coding. With more than 7.5 hours of video lessons, this course is designed to guide you step-by-step, ensuring you grasp each concept before moving onto the next.

What You'll Get:

• 📺 Step-by-step explanation through more than 7.5 hours of video lessons on python.
• ☕️ Instant reply to your questions asked during lessons, ensuring no query goes unanswered.
• 🗣️ Weekly live talks on python and data science where you can engage in real-time with the instructor and peers, asking questions and deepening your understanding.
• 📚 Helping materials like notes, examples, and exercises to reinforce your learning and provide a reference for future study.
• ✅ Solution of quizzes and assignments, so you can check your progress and understand where you stand.

Course Breakdown:

Basic Mathematical Coding in Python: We start with the basics, illustrating mathematical concepts visually before diving into coding them in Python. This approach ensures a solid foundation for more advanced topics.

• Algebra Coding: Move from basic to complex algebraic operations and equations using Python, with a focus on understanding and visualization before coding.
• Linear Algebra Mastery: Master the intricacies of matrices, determinants, Gaussian elimination, linear combinations, basis, vectors, norms, and linear dependence and independence through Python programming.

Statistics: Understand mean, mode, median, standard deviation, regression, correlation analysis, and probability in the context of real-world data by applying Python's powerful libraries.

Calculus: Dive into the world of limits, continuity, differentiation, integration, and plane curve problems with a hands-on approach to learning through Python code.

Sketching Mathematical Functions: Learn to visualize mathematical functions using Python libraries like Matplotlib and Numpy, transforming your ability to sketch from paper to code.

Trigonometry Through Python: Explore trigonometric identities, angles in radians and degrees, and much more through Python's coding capabilities.

Regression and Correlation Analysis: Code regressional and correlational data analysis, visualize your findings with scattering plots, and understand the nuances of data visualization using Python.

Complex Numbers System: A comprehensive discussion on adding, subtracting, multiplying complex numbers, and finding their arguments through coding in Python.

Latex in Python: Understand how to incorporate mathematical notations and abstract equations into your Python code by utilizing the Latex library within Python.

Course Objectives:

1. To elevate your understanding of mathematics from casual calculations to sophisticated applications using Python.
2. To explore new techniques for learning mathematics.
3. To provide clear explanations of simple and complex mathematical concepts using Python.
4. To make the learning process accessible to all students, regardless of their background in mathematics or programming.
5. To open up new avenues of exploration for learners at all levels.

Join us on this mathematical adventure with Python as your guide! 🧙‍♂️✨

Enroll now and transform the way you approach mathematics forever! 🚀🎉