Master Math by Coding in Python (Udemy.com)

Use Python to learn algebra, calculus, graphing, trigonometry and more math topics!

Created by: Codestars by Rob Percival

Produced in 2021

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What you will learn

  • Most important: Confidence in learning math!
  • Arithmetic
  • Algebra (1, 2)
  • Graphing
  • Trigonometry
  • Calculus
  • Linear algebra
  • Python programming
  • Formatting beautiful equations in LaTeX
  • Data visualization
  • Integrating Python, Markdown, and LaTeX

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Quality Score

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Overall Score : 96 / 100

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Course Description

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 tomathematics.
Let me guess what you are thinking:"But I dont know Python!" Thats 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 Im 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.
LOTSof 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.
Adata 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 31 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: ArithmeticIntroduction to SympyIntroduction to LaTeX (to print beautiful equations!)Algebra 1GraphingAlgebra 2Graphing conic sectionsTrigonometryCalculusLinear algebra...
and more!
Who is your teacher?
Iam 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 didnt 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.
comWho this course is for:
Maths students looking to use computers as a learning toolDevelopers keen to improve their math skillsIndependent learners returning to mathsProgrammers who want to use their coding skills to explore mathematics

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Instructor Details

Codestars by Rob Percival

Best-selling Udemy instructor Rob Percival wants to revolutionize the way people learn to code by making it simple, logical, fun and, above all, accessible. But as just one man, Rob couldnt create all the courses his students - more than half a million of them - wanted.
Thats why Rob created Codestars. Together, the instructors that make up the Codestars team create courses on all the topics that students want to learn in the way that students want to learn them: courses that are well-structured, super interactive, and easy to understand. Codestars wants to make it as easy as possible for learners of all ages and levels to build functional websites and apps.

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Reviews

4.8

177 total reviews

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By Alexander Jos Piero Domador on 12/27/2020

Muy completo. Es un hermoso curso

By Chanyoung Kang on 12/20/2020

Well presented, very patient for even the slowest users as well

By Mauricio Garces on 12/20/2020

Is the second lecture, I dont know to much obut the course

By Sean Garnsey on 12/20/2020

I am conducting a PhD in engineering and I've been needing to both learn Python and brush up on my mathematics skills. You really can't come up with a better teacher than Mike-- he's both incredibly knowledgeable and easy to follow.

By Jack sweatmore on 12/13/2020

i'm interested in doing more tomorrow, and i'm happy about this.

By Peter Belohorec on 12/13/2020

I like the course

By Antonio Jose Felizardo de Campos on 12/6/2020

This was the course I was waiting in a long time, well done! Thanks a lot!

By Joe Salem on 12/6/2020

Another great course by Mike X. Could not recommend more strongly - a truly great online teacher. Some prior knowledge of the mathematics is probably required for the most part and i'd say the focus is a little more skewed toward learning to implement the code in Python as opposed to learning the mathematics from scratch however all concepts are well explained and illustrated so as to reinforce previous knowledge or alternatively to give a good conceptual overview of the maths for a beginner. A cool way to pick up a lot of the basic concepts in Python.

By Simone Agostinelli on 12/6/2020

This is the third course from Mike X Cohen which I am attending. As an Engineering student I was already familiar with all of the concepts and topics, excepted probability and histogram, but I really liked the involving and easy to follow Mike's way of teaching. When something tough, like math seems easy and simple, the prize goes to your teacher because they are actually good teachers. If taken as an integration of academic Math course, this course is an amazing learning tool. Highly suggested! I had not ever attended any probability course so the probability and histograms course session, turned out to be tough to me both practically and theoretically.

By Ray Ronnaret on 12/6/2020

This is an outstanding course I expected, very fun and very clearly.
This supposed to be 5 stars, however, an half star deducted for the lack of document and resource to recap and fulfill the topics. For example, I a little surprised the conic section that not cover the major component and sample of apply.
This is understandable compare to worthy of attention striking that I finish the course in very short time.
I wish to see the Part2 or any similar such as Discrete math or Calculus.
Thanks you, Mike!!!

By Scottl Larson on 11/21/2020

Its early but so far I like the course.

By Giovanni Remigj on 11/18/2020

This is an excellent course which I highly recommend.
Should I give one suggestion, I would ask to add a couple of sessions about runtime error estimation. It is a more advanced topic but I think it is a fundamental one to learn if you do math on a computer.