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Get Master calculus 1 using Python: derivatives and applications with 90% OFF Udemy Coupon

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

★ 4.9 out of 5
(6,063 students enrolled)
Instructor: Mike X Cohen
Last Update:
Language: English

Key Takeaways — Course Overview

The following summarizes all verified data points for Master calculus 1 using Python: derivatives and applications, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CoursesWyn on .

Course Title: Master calculus 1 using Python: derivatives and applications

Platform: Udemy (listed via CoursesWyn)

Instructor: Mike X Cohen

Coupon Verified:

Difficulty Level: All Levels

Category: IT & Software

Subcategory: Calculus

Duration: 41h 30m of on-demand video

Language: English

Access: Lifetime access to all course lectures and updates

Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements

Top Learning Outcomes: Students who complete Master calculus 1 using Python: derivatives and applications will be able to: Mathematical functions (rational, polynomial, transcendantal, trig) · Limits and tricks for solving limits problems · Visualizing math functions (matplotlib)

Prerequisites: Basic high-school math

Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).

Important:

This coupon may not function properly in private/incognito browsing mode. Use a standard browser window and temporarily disable ad blockers or VPN services before clicking the redemption link to ensure the discount is applied correctly.

What You'll Learn

Completing Master calculus 1 using Python: derivatives and applications gives you the following verified skills and competencies in IT & Software:

  • Mathematical functions (rational, polynomial, transcendantal, trig)
  • Limits and tricks for solving limits problems
  • Visualizing math functions (matplotlib)
  • Differential calculus
  • Tips and tricks for differentiation
  • Python (numpy and sympy)
  • Numerical processing
  • Applied calculus

Requirements

The following background knowledge and tools are recommended before starting Master calculus 1 using Python: derivatives and applications. Students without these prerequisites may still enroll but should expect a steeper learning curve.

  • Basic high-school math
  • No programming experience needed
  • No prior experience with calculus needed!

About This Udemy Course

The following is the full official course description for Master calculus 1 using Python: derivatives and applications as published on Udemy by instructor Mike X Cohen. It covers the curriculum structure, teaching methodology, and topic scope for this IT & Software course.

The beauty and importance of calculus

Calculus is a beautiful topic in mathematics. No, really!

At its heart, calculus is about change. Life is full of change, and calculus is the language that humans developed (invented or discovered -- that's an ongoing debate!) to understand how physical, biological, and abstract systems change. Calculus is more than just some equations you have to memorize; it's a way of looking at the world and trying to understand how the tiniest infinitesimal changes can lead to gigantic complexity bigger than the imagination.

OK, but aside from all that fluff, calculus is also really important for basically every piece of engineering and digital technology that has touched humanity. Indeed, the history of calculus is the history of civilization.

  • You want to learn data science? => You need calculus.
  • You want to learn machine-learning? => You need calculus.
  • You want to learn deep learning? => You need calculus.
  • You want to learn computational science? => You need calculus.
  • You want to learn... I think you see the pattern here ;)

Why learn calculus?

There are three reasons to learn calculus.
  • It has applications for understanding data science and machine-learning algorithms, but it's also a beautiful topic in its own right.
  • Learning math will train your critical thinking and reasoning skills. Any branch of mathematics will train your brain, but calculus especially so, because doing calculus is a lot of like running scientific experiments -- generate hypotheses, test them in experiments by holding variables constant, and measuring the output.
  • It's a better hobby than sitting around watching netflix. Seriously. Learning math will help protect you from age-related cognitive decline. Challenge your mind to keep it sharp!

Learn calculus the traditional way or the modern way?

So, how do you learn calculus? You can learn it the way most people do -- by watching someone else scratch on a chalkboard while you furiously take notes and try to decipher their sloppy handwriting, all the while having a little voice in your head telling you that you don't get it because you're not smart enough.

Or you can try a different approach.

I follow the maxim "you can learn a lot of math with a bit of coding." In this course, you will use Python (mostly the numpy and sympy libraries) as a novel tool to help you learn concepts, proofs, visualizations, and algorithms in calculus.

There are three reasons to use Python to learn calculus:
  • Practical applications: Calculus is essential for understanding data science, machine learning, deep learning, computational science, and many other fields.
  • Mental exercise: Learning calculus, particularly in combination with Python, will train your critical thinking and reasoning skills.
  • Lifelong benefits: Engaging your mind with calculus can help protect against age-related cognitive decline and offer a fulfilling alternative to passive leisure activities.

So this is just about coding math?

No, this course is not about coding math. And it's not about using Python to cheat on your math homework. Python's symbolic math and plotting engines are incredibly powerful -- and yet underutilized -- tools to help you learn math. By translating formulas into code, implementing algorithms, and solving challenging coding exercises, you will gain a deep knowledge of concepts in calculus.

And the graphics engine in Python will let you see equations and functions in a way that helps you develop intuition for why functions behave the way they do.

You will also learn the limits of computers for learning calculus, and why you still need to use your brain and freshly developed calculus skills.

New to Python?

Python is a versatile and user-friendly programming language that complements calculus, especially when using libraries like NumPy and SymPy. By incorporating Python into your calculus studies, you can gain a deeper understanding of mathematical concepts, proofs, visualizations, and algorithms.

If you are new to Python, then don't worry! This course comes with a 7+ hour Python coding tutorial (potentially up to 12 hours if you complete all the exercises) that is designed for beginners and will teach you the coding skills you'll need for this course.

Are there exercises?

Everyone knows that you need to solve math problems to learn math. This course has exercises for you to solve in nearly every video -- and I explain the answers to every single exercise (not only the odd-numbered ones, lol).

But wait, there's more! I don't just give you problems to work on; I will teach you how to create your own exercises (and solutions) so you can custom-tailor your own homework assignments to practice exactly the skills you most need to work on. Because you know, "give someone a fish" versus "teach someone to fish."

Is this the right course for you?

One thing I've learned from 20+ years of teaching is that no two learners are the same, which means that no course will be right for everyone. I hope you find this course a valuable learning resource -- and fun to work through! -- but the reality is that this course won't be ideal for everyone. Please watch the preview videos and check out the reviews before enrolling.

And if you enroll but then decide that this course isn't a good match for you, then that's fine! Check out Udemy's 30-day return guarantee.

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Is This Course Worth It?

Expert review by Andrew Derek, Lead Course Reviewer at CoursesWyn. Last updated: .

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Master calculus 1 using Python: derivatives and applications is a high-value resource for learners seeking to build skills in IT & Software. Taught by Mike X Cohen on Udemy, the 41h 30m course provides a structured progression from foundational concepts to advanced Calculus techniques — making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $99.99 to $9.99, removing the primary financial barrier to enrollment.

What We Like (Pros)

The following advantages were identified:

  • Verified 90% price reduction makes this course accessible on any budget.
  • Aggregate student rating of 4.9 out of 5 indicates high satisfaction.
  • Includes an official Udemy completion certificate and lifetime access.

Keep in Mind (Cons)

The following limitations should be considered:

  • The depth of Calculus coverage may be challenging for newcomers.
  • Lifetime access is contingent on the Udemy platform's operation.
  • Hands-on projects require additional time beyond video watch time.

Andrew Derek

Lead Reviewer

View credentials →

"Given the 90% price reduction and verified 4.9-star rating, Master calculus 1 using Python: derivatives and applications represents one of the strongest value propositions currently available in IT & Software. Enrollment is recommended while this coupon remains active."

Final Verdict: Worth It

Course Rating Summary

Master calculus 1 using Python: derivatives and applications holds an aggregate rating of 4.9 out of 5 based on 6,063 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.9

6,063 Verified Ratings

5 stars
95%
4 stars
11%
3 stars
3%
2 stars
1%
1 star
1%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: .

Instructor Profile

The following section provides background information on Mike X Cohen, the instructor responsible for creating and maintaining Master calculus 1 using Python: derivatives and applications on Udemy.

Master calculus 1 using Python: derivatives and applications is taught by Mike X Cohen, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

  • Instructor Name: Mike X Cohen

  • Subject Area: IT & Software

  • Teaching Approach: Practical, project-based instruction focused on real-world application of Calculus skills.

View Official Instructor Profile ↗

Coupon Help Center

A step-by-step walkthrough showing exactly how to apply a Udemy coupon at checkout — including common issues and how to resolve them.

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Frequently Asked Questions

The following questions and answers cover the most common queries about Master calculus 1 using Python: derivatives and applications, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of .

Is there a verified discount coupon for Master calculus 1 using Python: derivatives and applications?
Yes. A verified Udemy coupon for Master calculus 1 using Python: derivatives and applications is available on this page, reducing the price from $99.99 to $9.99 — a saving of $90.00 (90% OFF). The coupon was last verified on March 26, 2026.

How do I apply the Master calculus 1 using Python: derivatives and applications coupon code?
Click the "Redeem Coupon" button on this page. The 90% discount is automatically applied to the Udemy checkout link. No manual coupon entry is needed.

How long is the Master calculus 1 using Python: derivatives and applications course on Udemy?
Master calculus 1 using Python: derivatives and applications consists of 41h 30m of on-demand video. Udemy provides lifetime access to enrolled students, allowing you to revisit all content at any time after purchase.

What skills will I gain from Master calculus 1 using Python: derivatives and applications?
Master calculus 1 using Python: derivatives and applications, taught by Mike X Cohen on Udemy, covers the following competencies: Mathematical functions (rational, polynomial, transcendantal, trig) ; Limits and tricks for solving limits problems ; Visualizing math functions (matplotlib) . These skills are delivered through 41h 30m of structured Calculus content, enabling learners to apply knowledge immediately after each module.

What is the Master calculus 1 using Python: derivatives and applications Udemy course?
Master calculus 1 using Python: derivatives and applications is a 41h 30m online course on Udemy, created and taught by Mike X Cohen. It covers IT & Software topics and holds a 4.9-star rating from 6,063 enrolled students. Use the verified coupon on this page to access it at $9.99 (90% OFF the regular $99.99 price).
Andrew Derek

Andrew Derek

Expert Reviewer

Andrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.

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