Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
13 Hour(s) 8 Minute(s)
Language
English
Taught by
Younes Abdeldjalil Toumi
Rating
2 views
Course Overview
Master applied Python for Science and Engineering - Essential Skills and Hands-On Projects!
It is finally time you unlock your full professional potential with Python! •
In this comprehensive bootcamp, The Python for Science and Engineering you'll embark on a structured and concise learning journey designed to equip you with practical Python skills tailored specifically for science and engineering applications.
Who is this course thought by? •
Guided by an instructor who has 5+ years experience in Python and Engineering that understands the challenges of being a student, the course covers fundamental and advanced Python concepts, presented in a clear, logical and intuitive manner.
What will this course teach you? •
You'll learn to navigate through powerful and crucial libraries in the scientifical realm:
Handle Multi-dimensional Arrays and perform Numerical Computation with NumPy.
Develop Professional Data Visualization Skills with Matplotlib.
Unlock the Power of Symbolic Mathematics with SymPy.
But also learn how to master Python when applied in Engineering, by learning how to:
Master the fundamentals of python programming while adopting good writing habits.
Define and Model, Solve and Simulate a Differential Equation that governs a physical phenomena.
The course is crafted to avoid unnecessary complexity, offering focused content that is both current and relevant. With an optimal course length, you'll efficiently gain the skills needed to boost your resume and excel in your academic or professional pursuits.
Enroll today to unlock your full potential and prepare yourself for success in the STEM field! •
Course Content
- 10 section(s)
- 63 lecture(s)
- Section 1 Welcome to the Python for Engineers Course!
- Section 2 Fundamentals of Python Programming
- Section 3 Functions & Modular Programming
- Section 4 Data Structures
- Section 5 Object Oriented Programming
- Section 6 Errors and Exceptions
- Section 7 File Handling and I/O Operations
- Section 8 Handling Multi-Dimensional Arrays with NumPy
- Section 9 Data Visualization & Plotting with Matplotlib
- Section 10 Symbolic Mathematics & Expressions with SymPy
What You’ll Learn
- Master Python from Fundamentals to Advanced Concepts.
- Solve Engineering Problems through Analysis and Modelling.
- Manipulate, Analyse, and Visualize data efficiently.
- Excel in Critical Libraries for Scientifical Computation.
- Unlock the Power of Symbolic Mathematics with SymPy.
- Develop Professional Data Visualization Skills with Matplotlib.
- Utilize Python for Efficient Numerical Analysis.
Skills covered in this course
Reviews
-
MMaryam AL-JANABI
Great tutorial. Simple and easy. I have a mac and was able to follow along nicely.
