Master Math by Coding in Python
Original price was: $109.99.$19.99Current price is: $19.99.
What you’ll learn
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Most important: Confidence in learning math!
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Arithmetic
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Algebra (1, 2)
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Graphing
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Trigonometry
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Calculus
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Linear algebra
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Python programming
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Formatting beautiful equations in LaTeX
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Data visualization
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Integrating Python, Markdown, and LaTeX
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You can learn a lot of math with a bit of coding!
Many people don’t know that Python is a really powerful tool for learning math. Sure, you can use Python as a simple calculator, but did you know that Python can help you learn more advanced topics in algebra, calculus, and matrix analysis? That’s exactly what you’ll learn in this course.
This course is a perfect supplement to your school/university math course, or for your post-school return to mathematics.
Let me guess what you are thinking:
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“But I don’t know Python!” That’s okay! This course is aimed at complete beginners; I take you through every step of the code. You don’t need to know anything about Python, although it’s useful if you already have some programming experience.
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“But I’m not good at math!” You will be amazed at how much better you can learn math by using Python as a tool to help with your courses or your independent study. And that’s exactly the point of this course: Python programming as a tool to learn mathematics. This course is designed to be the perfect addition to any other math course or textbook that you are going through.
What do you get in this course?
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Over 33 hours of instruction that includes Python coding, visualization, loops, variables, and functions.
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LOTS of practical exercises! Each video has at least one hands-on coding/math exercise (and you’ll get to watch me solve those exercises). And each section ends with “bug hunts” where you get to find and fix my math-coding errors!
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That warm, fuzzy feeling of confidence that you can combine the skills from this course to improve your understanding of mathematics.
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A big-picture overview of beginner and advanced mathematics, from solving for “x” to computing integrals to finding eigenvalues. If you are only just beginning your adventures in maths, then this course will show you what you have to look forward to!
This course is right for you if you are:
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In middle/high school, university, or are returning to math as an independent learner.
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A data professional who wants to brush up on math and Python skills.
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A complete beginner to Python.
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Already proficient with math “in theory” and want to learn how to translate math formulas and concepts into computer code.
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Bored and looking for a fun intellectual challenge.
With over 33 hours of teaching, plus student exercises, challenges and an active course Q&A forum (get a response to any question within 48 hours!), this course gives you everything you need to succeed in your maths course or independent adventures in learning math.
All the code that appears in the videos is also included for download. You can code along as you watch the videos, or download the code and use it directly.
This course covers the following topics:
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Arithmetic
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Introduction to Sympy
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Introduction to LaTeX (to print beautiful equations!)
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Algebra 1
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Graphing
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Algebra 2
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Graphing conic sections
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Trigonometry
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Calculus
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Linear algebra
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…and more!
Who is your teacher?
I am Mike X Cohen, an associate professor at the Radboud University (the Netherlands). I’m a bestselling and highly rated instructor on Udemy. I’ve taught over 73,000 students the foundations of scientific programming, data analysis, and applied mathematics, and I’ve written several textbooks on programming and data analyses.
I worked really hard to make this course a great learning experience for you. Check out what some of my students have said about my other courses:
***** ‘Best teacher ever. I am a psychologist and I didn’t have mathematical training as an undergrad, but the books and lectures of Dr. Cohen have been life saving’
***** ‘What I REALLY like about Mike’s style is that not only clear and direct, but he mixes in appropriate amounts of foreshadowing … to make it easier for me to connect the dots.’
***** ‘Mike X Cohen’s courses are by far the best ones I’ve done in Udemy.’
What you should do right now:
Watch the free preview videos.
Check out the reviews of this course.
Joining this course is risk-free: If you change your mind after enrolling, Udemy offer a 30 day money back guarantee, and you can find full details here: https://support.udemy.com
Who this course is for:
- Maths students looking to use computers as a learning tool
- Developers keen to improve their math skills
- Independent learners returning to maths
- Programmers who want to use their coding skills to explore mathematics
12 reviews for Master Math by Coding in Python
Add a review
Original price was: $109.99.$19.99Current price is: $19.99.
Alexander Carr –
This is an excellent course and Mike is a good teacher. For the course content alone, I would give 4 and a half stars, but Mike’s upbeat attitude towards the material and willingness to respond to comments in a helpful manner pushed this up to a five-star experience as far as I am concerned.
This course has a lot to offer anyone who wants to learn how to approach mathematical problems in Python. In particular, it will familiarise you with essential Python modules for mathematics like numpy and matplotlib. I wish I’d learned these skills when I was younger; they would have guaranteed me perfect scores in all my maths tests. Definitely recommended to anyone who wants to improve their mathematical abilities using programming.
The course will also benefit your programming skills to some degree because you will get hands-on experience programming as you go along. That said, I think if you only want to learn Python and have no interest in mathematics, this is not for you.
If you already know
the absolute basics of programming in Python and want to get into mathematical programming, this is a great place to start. The 37 hours were not wasted and I’m definitely ready to jump into more challenging mathematical programming tasks that would have terrified me before I started. The course will help you build confidence combining mathematics with programming. Thanks for the course!
Jason Awuku –
This is an excellent course for those who want to both learn Python, and brush up on their math knowledge. For me, coming back to mathematics after 30 years, this is very valuable. Prof. Cohen has a relaxed teaching style, goes at an appropriate pace, and also covers the common pitfalls and errors a beginner programmer may face.
I also recommend this course as a springboard for other courses in Data Science and Machine Learning.
On completion of this course, I also would recommend courses by the same teacher:
a) Statistics literacy for non-statisticians
and to gain a deeper mathematical insight, as well as building upon the coding:
b) Complete linear algebra: theory and implementation in code
c) Master statistics & machine learning: intuition, math, code
And lastly, and not least, the exercises are fun to complete, and you also gain insight into how the teacher’s solution differs from your own, being that there can be many right answers to a problem.
Paul Byrnes –
This is a great course for maths and using python. The course has has more breadth than depth – as it is aiming to introduce topics rather than explore them in great detail. Building skills in python with Mike’s way of teaching has helped my better plan and implement using Python to solve problems. The bug hunts in the course provide a good way to test your skills and understanding and assist in showing some of the common pitfalls you come across.
SP WCD –
after tens years apart from uni. this course made me falling in love with math again thank you
Barbara Gladfelter –
Love Mike’s course! The fun exercises and art from math really kept my interest all the way though. Some of the math is beyond what I did in college, but Mike explains everything clearly so I was never lost. He also answers questions in the Q&A promptly.
Roya Babayev –
The course allowed me to revise algebra and calculus, while cultivate habit of using python for solving math exercises
Dylan Raithel –
I want to relearn math, I’ve been a data analyst, and a software engineer, but math was always the first principal I didn’t spend enough time with, so what better way to get back into math than to take what I already do and run with it.
Cláudio Augusto Ferreira –
This is a really interesting course for who wants to know what’s important to remember in Mathematics and learn or power up his/her Python abilities. Mike has a calm voice and it is very pleasant and funny to learn from him.
Seng Keat –
I hope to knew this course during my college level
Udemy User –
Bro i swear im the kind of guy that is impossible to teach math to i literally have a trauma about math and really i think you are the only guy in this world that achieved the impossible… Im at the beginning of Algebra 1 and i love this course. thank you g
Kiran Kayyar –
The content, pace and emphasis on concepts is great! Just what I was looking for. I use a lot of math, but know very little coding. This is helping me bridge that gap. Thank you Mike.
Leandro Ribeiro Calixto –
Its an awsome course. I recomend a lot. I’m a Data Engineer who loves Data Science and studying Applied Math. This course is awsome and helped me to create/test Math models.