Master Math by Coding in Python

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Master Math by Coding in Python
Master Math by Coding in Python

Embark on a Python journey to learn a multitude of math essentials including linear algebra, calculus, trig, and more

Product Brand: Udemy

Editor's Rating:
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Udemy Coupon Code for Master Math by Coding in Python Course. Use Python to learn algebra, calculus, graphing, trigonometry and more math topics!

Created by Codestars, Mike X Cohen | 37 hours on-demand video course | 1 downloadable resource

Math Course Overview

Master Math by Coding in Python

This Master Math by Coding in Python course is a perfect supplement to your school/university math course, or for your post-school return to mathematics. 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.

What you’ll learn

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

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This Math 0-1: Probability for Data Science & Machine Learning course will cover everything that you’d learn (and maybe a bit more) in an undergraduate-level probability class. This includes random variables and random vectors, discrete and continuous probability distributions, functions of random variables, multivariate distributions, expectation, generating functions, the law of large numbers, and the central limit theorem.

Mathematics-Basics to Advanced for Data Science And GenAI

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Mathematics Build Strong math foundation with linear algebra,stats,probability,differential calculus for mastering data …
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This Mathematics-Basics to Advanced for Data Science And GenAI course is designed to bridge the gap between your current math skills and the level required to understand and implement data science algorithms effectively. Whether you are a beginner or an experienced professional looking to strengthen your mathematical understanding, this course will equip you with the tools you need to succeed.

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

Taught by Mike X Cohen

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