Formation Python et Matlab (2 in 1)
Learn Python & MATLAB: Master essential programming skills for data analysis, automation, and more. Perfect for beginners to advanced users.
Course Content
Formation Python et Matlab (2 in 1) is an all-levels Udemy course taught by Joanna Nseir. It runs 15h 59m, is taught in French, and includes a certificate of completion. Learners rate it 4.4 out of 5 from 19 reviews, with 101 students enrolled. It is a paid course, first published January 2022.
Explore the world of programming with this comprehensive course covering both Python and Matlab! This training combines theoretical learning with practical exercises and demonstrations to build your skills.
The course is structured into two main sections:
Python Training
This section provides a solid foundation in Python, a versatile and widely used programming language. You'll learn:
- Python Basics:
- Variable definition
- Practical applications of Python
- Working with lists and dictionaries
- Defining and utilizing functions and methods
- Developing custom functions
- Using
datetimeobjects - And much more – explore detailed subtopics through the course videos.
- Advanced Python Concepts:
- Arithmetic operators
- Importing libraries
whileloops- Logical operators
- Lists, tuples, and dictionaries
- Nested data types
- List and set comprehensions
- The
returnstatement - Modules
- Enums
- Local and global variables
- File creation
- Random number generation
- The
choicefunction - And many other advanced topics – discover them in the course videos.
Matlab Training
Delve into Matlab, a powerful environment for numerical computation and data analysis. You'll master:
- Matlab Basics:
- Understanding the Matlab interface
- Variable definition and data types
- Arithmetic operations
- Creating plots
- Working with matrices
- Logical operators
- And more – explore detailed subtopics through the course videos.
- Advanced Matlab Concepts:
- Creating graphs
whileloops andbreakstatements- Display functions
- Special functions
- Input and display functionalities
- Stem figures
- Gtext
- Symbolic computations
- And a wealth of other advanced techniques – learn them in the course videos.
Throughout the course, you'll find helpful resources and exercises to reinforce your learning and apply your new skills to real-world applications.
P.S.: Some concepts are presented in English as part of the curriculum.
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