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:
•”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.
•”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?
•Over 33 hours of instruction that includes Python coding, visualization, loops, variables, and functions.
•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!
•That warm, fuzzy feeling of confidence that you can combine the skills from this course to improve your understanding of mathematics.
•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:
•In middle/high school, university, or are returning to math as an independent learner.
•A data professional who wants to brush up on math and Python skills.
•A complete beginner to Python.
•Already proficient with math “in theory” and want to learn how to translate math formulas and concepts into computer code.
•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:
•Arithmetic
•Introduction to Sympy
•Introduction to LaTeX (to print beautiful equations!)
•Algebra 1
•Graphing
•Algebra 2
•Graphing conic sections
•Trigonometry
•Calculus
•Linear algebra
•…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
