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Python engineering animations: Bring math & data to life

Present engineering data like a movie: create code for Python animations in Matplotlib + Mathematics + Control Systems
4.7
4.7/5
(86 reviews)
1,325 students
Created by

9.7

CourseMarks Score®

10.0

Freshness

8.8

Feedback

9.6

Content

Platform: Udemy
Video: 21h 41m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.7 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 12/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

8.8 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.6 / 10
Video Score: 10.0 / 10
The course includes 21h 41m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 8.9 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

15 articles.
16 resources.
0 exercise.
0 test.

Table of contents

Description

How would you like to have an idea for a scientific animation and be able to actually create it and show it to other people? How would you like being able to code a program that gives you that technical animation? How would you like to present technical data as a movie? In order to achieve that, it is important to know a programming language that can create technical animations and it is essential to know certain Mathematical concepts for that.
Python has a great library called Matplotlib and it gives us an amazing opportunity to create scientific animations easily and in a very neat way. If you know how to use it and you know some math, then you have the ability to create very impressive animations and visualize data in a very creative way. Imagine how great it would be to present your scientific data to your coworkers or partners in the form of a movie. They say, that a picture is worth 1000 words. Well, perhaps an animation is worth 1000 pictures. I guess that is why videos are the primary tool to convince people of something.
In this course you will not only learn how to use the infrastructure of Python animations in Matplotlib, you will also master the mathematics that you need for creating technical animations. We will animate airplanes, 3 joint robots, water tanks, autonomous vehicles, trains on rails, a UAV drone, free falling objects on different planets, etc. While doing that, we will learn Mathematical concepts such as Functions, Derivatives, Vectors, Physics for free falling objects, Trigonometry, Time delays, Circular motion in 2 and 3D dimensions and even a short Intro to a fascinating field of Control Systems.
If you want to learn all these interesting and exciting concepts and know how to apply them to create impressive technical animations, then ENROLL in this course and let’s get started. I’m looking forward to seeing you there!
Best Regards,
Mark Misin

You will learn

✓ Animations using Python programming language
✓ Basic Mathematics to create the animations in Python
✓ Intro to Control Systems to create animations in Python

Requirements

• Basic level in Python: loops, conditions, functions

This course is for

• Engineering students
• Engineering professionals
• Programmers
• Mathematicians
• Engineering & Programming hobbyists
• Data Scientists

How much does the Python engineering animations: Bring math & data to life course cost? Is it worth it?

The course costs $11.99. And currently there is a 86% discount on the original price of the course, which was $84.99. So you save $73 if you enroll the course now.

Does the Python engineering animations: Bring math & data to life course have a money back guarantee or refund policy?

YES, Python engineering animations: Bring math & data to life has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Python engineering animations: Bring math & data to life course, but there is a $73 discount from the original price ($84.99). So the current price is just $11.99.

Who is the instructor? Is Mark Misin Engineering Ltd a SCAM or a TRUSTED instructor?

Mark Misin Engineering Ltd has created 6 courses that got 1,212 reviews which are generally positive. Mark Misin Engineering Ltd has taught 8,238 students and received a 4.6 average review out of 1,212 reviews. Depending on the information available, Mark Misin Engineering Ltd is a TRUSTED instructor.
Math, Control Systems, Python, Mechanics: Statics & Dynamics
The Mission: to elevate humanity’s knowledge, skills and love for science & engineering

I think that online education is the future because of one single fact – it is easily scalable. One course of a single great teacher can reach millions of people and potentially transform their lives. If education is more scalable, it will be more affordable. More affordable and accessible education will give more people an opportunity to stay out of poverty and create a great life for themselves.

I am here to contribute to this movement.

9.7

CourseMarks Score®

10.0

Freshness

8.8

Feedback

9.6

Content

Platform: Udemy
Video: 21h 41m
Language: English
Next start: On Demand

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