Learn Mathematics in Python

Why take this course?
🧮 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:
- To elevate your understanding of mathematics from casual calculations to sophisticated applications using Python.
- To explore new techniques for learning mathematics.
- To provide clear explanations of simple and complex mathematical concepts using Python.
- To make the learning process accessible to all students, regardless of their background in mathematics or programming.
- 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! 🚀🎉
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