Wolfram Mathematica Masterclass- from Beginner to Expert

Wolfram Mathematica Masterclass: from Beginner to Expert, available at $89.99, has an average rating of 4.63, with 214 lectures, 5 quizzes, based on 316 reviews, and has 2240 subscribers.

You will learn about Fundamentals: Wolfram programming language, notebooks & their advantages Basic skills: Use functions, lists, plotting, graphics & animations Hands-on programming: Work on actual projects from machine learning, science, economy, society and more Cool applications: Use your knowledge to create useful notebooks and beautiful interactive images This course is ideal for individuals who are This course is for everyone! It contains the basics as well as advanced projects from various fields. or Programming beginners who want to learn coding in an intuitive way or Advanced programmers who use other languages and want to learn about the advantages of Wolfram Mathematica or Mathematica users who want to take the next step and work on actual projects It is particularly useful for This course is for everyone! It contains the basics as well as advanced projects from various fields. or Programming beginners who want to learn coding in an intuitive way or Advanced programmers who use other languages and want to learn about the advantages of Wolfram Mathematica or Mathematica users who want to take the next step and work on actual projects.

Enroll now: Wolfram Mathematica Masterclass: from Beginner to Expert

Summary

Title: Wolfram Mathematica Masterclass: from Beginner to Expert

Price: $89.99

Average Rating: 4.63

Number of Lectures: 214

Number of Quizzes: 5

Number of Published Lectures: 214

Number of Published Quizzes: 5

Number of Curriculum Items: 219

Number of Published Curriculum Objects: 219

Original Price: $84.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals: Wolfram programming language, notebooks & their advantages

Basic skills: Use functions, lists, plotting, graphics & animations

Hands-on programming: Work on actual projects from machine learning, science, economy, society and more

Cool applications: Use your knowledge to create useful notebooks and beautiful interactive images

Who Should Attend

This course is for everyone! It contains the basics as well as advanced projects from various fields.

Programming beginners who want to learn coding in an intuitive way

Advanced programmers who use other languages and want to learn about the advantages of Wolfram Mathematica

Mathematica users who want to take the next step and work on actual projects

Target Audiences

This course is for everyone! It contains the basics as well as advanced projects from various fields.

Programming beginners who want to learn coding in an intuitive way

Advanced programmers who use other languages and want to learn about the advantages of Wolfram Mathematica

Mathematica users who want to take the next step and work on actual projects

** The Bestseller for Mathematica courses here on Udemy **

“This is the one and only course for Mathematica, that covers almost everything one would expect. Great job making this useful content!” – Siddhant Singh

This course is for everyone who wants to get better in Wolfram Mathematica!

No prior knowledge is required. We will start from the basics and climb the ladder up to advanced projects!

Wolfram Mathematica is an enormously powerful tool. In this language you can often solve difficult problems with only a few lines of code. However, this makes learning the language and especially the transition from conventional programming languages like C or python unique, as it uses a different approach to tackle programming. It is not difficult but can be overwhelming if you are on your own.

Mathematica was originally created to solve maths problems but was soon used in the natural sciences, as well. Today, it contains clever functions that can be adapted to all sorts of problems: We will solve programming tasks and will create beautiful, interactive images in our projects about statistics, physics, geography, chemistry, biology, music, political speeches, quantum computing, neural networks, machine learning, image manipulation, the stock market and more.

You are kindly invited to join this carefully prepared course that will teach you all you need to know about Mathematica. It includes a crash course, quizzes, exercises, background lectures and, of course, hands-on programming sessions in which we will solve real-life examples!

Why me?

My name is B?rge G?bel and I am a postdoc working as a scientist in theoretical physics.
I have refined my advisor skills as a tutor of Bachelor, Master and PhD students in theoretical physics and have other successful courses here on Udemy.

Especially when I started my PhD I was impressed how easily you can solve demanding tasks with Mathematica. I have used the program for the results and images in many of my publications and have recommended Mathematica to all of my students.

I hope you are excited and I kindly welcome you to our course!

Course Curriculum

Chapter 1: [Basics] Introduction and How to work with Mathematica

Lecture 1: BEFORE YOU START: How to use this course

Lecture 2: OVERVIEW of the course

Lecture 3: EXERCISES throughout the next two sections

Lecture 4: Promo video (in case you want to see it again)

Lecture 5: Advantages of Mathematica

Lecture 6: Free-form input & Wolfram alpha

Lecture 7: How to get Mathematica – free & paid

Lecture 8: Lets get started!

Lecture 9: Structure & Style of a Mathematica notebook

Lecture 10: Cell Types and Typesetting

Lecture 11: Basic arithmetic

Lecture 12: Head & FullForm – How Mathematica sees our commands

Lecture 13: Conventional programming

Lecture 14: F1 – Searching the documentation center

Lecture 15: Useful functions

Lecture 16: Section summary

Lecture 17: [Exercise] about the basics

Lecture 18: [Solutions]

Lecture 19: Resources & Links

Chapter 2: [Crash course] Functions, Lists and Plots

Lecture 1: Introduction

Lecture 2: [PART 1] Functions

Lecture 3: General aspects of functions

Lecture 4: Multi-argument functions

Lecture 5: Multi-line functions

Lecture 6: Summary: Functions

Lecture 7: [Exercise] about functions

Lecture 8: [Solutions]

Lecture 9: [PART 2] Working with lists

Lecture 10: General aspects of lists

Lecture 11: Lists as vectors & matrices

Lecture 12: Working with imported data

Lecture 13: Nesting lists

Lecture 14: Summary: Working with lists

Lecture 15: [Exercise] about lists

Lecture 16: [Solutions]

Lecture 17: [PART 3] Plotting & Visualization

Lecture 18: General aspects of plots

Lecture 19: List plots

Lecture 20: Plots of three-dimensional data

Lecture 21: Creating graphics

Lecture 22: Parametric plots

Lecture 23: Manipulate & How to create .gif animations

Lecture 24: Summary: Plotting & Visualization

Lecture 25: [Exercise] about plots

Lecture 26: [Solutions]

Lecture 27: [PART 4] Advanced topics

Lecture 28: Dynamics

Lecture 29: Map

Lecture 30: Patterns

Lecture 31: Associations

Lecture 32: Entities

Lecture 33: Parallelization

Lecture 34: Advanced mathematics: Derivatives & Integrals

Lecture 35: Advanced mathematics: Limits & Series

Lecture 36: Resources & Links

Chapter 3: Statistics: Random walk and the stock market

Lecture 1: Introduction

Lecture 2: [PROJECT A] Random walk

Lecture 3: Getting started

Lecture 4: Simulating your first random walks

Lecture 5: [Exercise] Statistical analysis of random walks

Lecture 6: [Solution] Statistical analysis of random walks

Lecture 7: Two- and three-dimensional generalization

Lecture 8: [PROJECT B] Stock market

Lecture 9: Access financial data

Lecture 10: Analyzing stocks

Lecture 11: Bitcoin: Importing cryptocurrency data from websites

Lecture 12: Resources & Links

Chapter 4: Geography, Chemistry and Biology: Working with entities

Lecture 1: Introduction: Geography, chemistry & biology projects

Lecture 2: [PROJECT C] Geographical data as entities

Lecture 3: Map with national flags

Lecture 4: Preview: A Trip to Paris

Lecture 5: A Trip to Paris

Lecture 6: [Exercise] Road trip in the US

Lecture 7: [Solution] Road trip in the US

Lecture 8: Age distribution chart

Lecture 9: Preview: Day & Night animated map

Lecture 10: Day & Night animated map

Lecture 11: [PROJECT D] Chemistry

Lecture 12: Introduction to chemical data

Lecture 13: Plotting molecules of the class of alcohols

Lecture 14: Search for compounds

Lecture 15: Table of chemical data

Lecture 16: Plotting chemical data

Lecture 17: [Exercise] Molar volume of gases

Lecture 18: [Solution] Molar volume of gases

Lecture 19: Boiling point of all compounds

Lecture 20: [PROJECT E] Biology

Lecture 21: Comparing maximum speed of animals

Lecture 22: [Exercise] Comparing height and age of animals

Lecture 23: Anatomy plots

Lecture 24: Visualizing the DNA

Instructors

Dr. B?rge G?bel
Scientist in Quantum Physics, Programmer and Instructor

Rating Distribution

1 stars: 1 votes

2 stars: 2 votes

3 stars: 18 votes

4 stars: 91 votes

5 stars: 204 votes

Frequently Asked Questions

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