Wolfram Mathematica Masterclass: From Beginner to Expert

Learn by Example: Smart Programming for Machine Learning, Science, Statistics, Economics, Linguistics, and Media

English name of the course: Wolfram Mathematica Masterclass from Beginner to Expert

This video tutorial is 8.06GB in total, with Chinese and English subtitles, clear picture quality without watermark, and full source code attachments

Course address: https://xueshu.fun/1481 Demo address: https://www.udemy.com/course/mathematica-masterclass/

Course content

what will you learn

The Basics: The Wolfram Programming Language, Notebooks, and Their Benefits
Essential skills: use functions, lists, plots, graphs, and animations
Hands-on coding: work on real-world projects in machine learning, science, economics, society, and more
Cool app: use your knowledge to create useful notebooks and beautiful interactive images

This course includes:

24.5 hours video on demand
36 articles
42 downloadable assets
lifetime access
Access on mobile and TV

Require

not any! With the free online version of Mathematica, you can go even further and even test the full version.
If you want to do everything: the full version of Wolfram Mathematica is recommended. We are using v12.2.
Basic programming skills are helpful, but not required, since coding in Mathematica is very intuitive.

describe

** Bestseller for Mathematica courses on Udemy**

"This is the only course in Mathematica that covers pretty much everything one would expect. It's great to make such useful content!" – Siddhant Singh

This course is for anyone looking to get better at Wolfram Mathematica!

No prior knowledge is required. We'll start with the basics and work our way up to advanced items!

Wolfram Mathematica is a very powerful tool. With this language, you can often solve difficult problems with just a few lines of code. However, this makes learning a language, especially a transition from a traditional programming language like C or Python, unique because it uses a different approach to programming. It's not difficult, but it can be overwhelming if you're on your own.

Mathematica was originally created for solving mathematical problems, but was soon being used in the natural sciences as well. Today, it contains neat features that can be adapted to a variety of problems: we will solve programming tasks and we will create beautiful interactive images in our projects on statistics, physics, geography, chemistry, biology, music, politics Lectures, quantum computing, neural networks, machine learning, image processing, stock markets, and more.

We cordially invite you to join this well-prepared course that will teach you everything you need to know about Mathematica. It includes crash courses, quizzes, exercises, background lectures, and of course hands-on programming sessions where we'll tackle real-life examples!

why me?

My name is Börge Göbel, I am a theoretical physicist and a postdoc.
As a mentor to BS, MS, and PhD students in Theoretical Physics, I have sharpened my advisory skills and created other successful courses on Udemy.

Especially when I started my Ph.D., I was impressed by the ease with which Mathematica can solve difficult tasks. I use this program for results and images in many of my publications and recommend Mathematica to all my students.

I hope you are excited and I warmly welcome you to our courses!

Who this course is suitable for:

This course is for everyone! It contains basic knowledge and advanced items from various fields.
Programming beginners who want to learn to code in an intuitive way
Advanced programmers who speak other languages and want to learn about the benefits of Wolfram Mathematica
Mathematica users who want to take the next step and work on real projects

Academic Fun https://xueshu.fun/ Continuously update video tutorials in online classrooms such as Udemy, Coursera, etc. The categories cover artificial intelligence, machine learning, programming languages, game development, network security, cloud computing, Linux operation and maintenance, interview skills, etc. All knowledge of computer science.

All video tutorials include Chinese and English subtitles, exercise source code and supporting supplementary materials.