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via Udemy |
Go to Course: https://www.udemy.com/course/learn-mathematical-coding-in-python/
Certainly! Here is a detailed review and recommendation for the Coursera course "Learn Mathematics in Python": --- **Course Overview:** "Learn Mathematics in Python" is a comprehensive and engaging course designed for learners eager to explore the intersection of mathematics and programming. Spanning over 7.5 hours of carefully structured video lessons, this course takes participants from basic mathematical calculations to advanced topics in calculus, statistics, algebra, and more — all through the power of Python coding. **Content & Structure:** The course adopts a step-by-step teaching methodology rooted in the "Maxims of teaching" approach — progressing from simple to complex concepts. It begins with foundational mathematical algorithms and formulas, utilizing tools like screen boards to visually explain definitions and examples before diving into coding. This visual supplement enhances understanding, making abstract concepts more tangible. As learners advance, the course covers a broad spectrum of topics including: - Basic arithmetic operations and algorithms in Python. - Algebra, with an emphasis on defining algebraic concepts through coding and visual graphing of equations. - Linear algebra, including matrices, determinants, vectors, norms, and the Gauss method. - Statistics and probability, teaching how to compute mean, median, mode, standard deviation, regression, and correlation analysis. - Calculus, covering limits, derivatives, integrals, coordinate geometry, and plane curves. - Trigonometry, learning identities, angles in radians, and degrees via Python scripts. - Regression and correlation analysis with data visualization using scatter plots. - Complex number systems, including operations and arguments for complex numbers. - LaTeX in Python, illustrating how to write and represent mathematical equations programmatically. **Course Objectives:** The course aims to elevate students' understanding of mathematics from casual calculations to an advanced, programming-based approach. It introduces innovative learning techniques, making complex subjects accessible through Python. Overall, the primary goals are to: 1. Enhance mathematical understanding using Python. 2. Teach new, effective methods to learn mathematics. 3. Simplify complex concepts with visual and coding techniques. 4. Make mathematics education accessible to all students. 5. Encourage exploration across all levels of learners. **Review & Recommendations:** This course is highly recommended for students, educators, or anyone interested in applying Python to understand mathematical concepts deeply. Its practical approach of coding alongside visual explanations caters well to visual and hands-on learners. The inclusion of advanced topics such as calculus, LaTeX, and complex numbers, alongside core topics like algebra and statistics, provides a well-rounded mathematical education. Moreover, the course’s emphasis on visualization through Python libraries like Matplotlib and Numpy enhances comprehension and engagement. **Pros:** - Comprehensive coverage of diverse mathematical topics. - Clear, progressive teaching methodology. - Visual and coding-based learning tools. - Suitable for beginners and advanced learners alike. - Practical skills applicable in data science, engineering, and research. **Cons:** - As the course is time-limited, some topics might require supplementary learning for mastery. - Requires basic Python familiarity for beginners, though foundational concepts are explained. **Final Verdict:** If you're looking to deepen your understanding of mathematics using Python, this course is an excellent resource. Its innovative teaching style makes complex topics approachable and engaging, fostering both theoretical and practical skills. Whether you're a student, teacher, or professional, this course offers valuable tools to enhance your mathematical journey with Python. **Rating: 4.7/5** --- **Overall, I highly recommend** "Learn Mathematics in Python" on Coursera for anyone interested in combining mathematical theory with programming to boost learning, problem-solving, and data analysis skills.
< Step-by-step explanation of more than 7.5 hours of video lessons on python>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 PythonRegression 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 Python4. Making learning possible for every student to learn mathematics.5. New exploration for all levels of learners.