Python for Engineers and Scientists / basic to advanced
Learn Python for data science! Master NumPy, Pandas, Matplotlib & Scipy. Automate tasks & go from beginner to advanced. Skip Excel & Matlab.
Course Content
Python for Engineers and Scientists / basic to advanced is an all-levels Udemy course taught by Rafael Pereira da Silva, MSc.. It runs 14h 25m, is taught in English, and includes a certificate of completion. Learners rate it 4.4 out of 5 from 88 reviews, with 614 students enrolled. It is a paid course, last updated October 2025.
Unlock powerful data analysis and scientific computing skills with Python for Engineers and Scientists. This comprehensive course equips professionals in various fields with essential programming, mathematical, and data visualization tools.
Why Choose This Python Course?
- Free & Open-Source: Leverage the power of Python and its associated scientific libraries – all available at no cost! This promotes easy adoption in both professional and academic environments.
- Thriving Community: Join a globally active community. Python's popularity has surged since 2015, and you'll be part of a vibrant ecosystem.
- Best Value: This course offers the most comprehensive learning experience with an exceptional cost-benefit ratio for mastering Python and its scientific ecosystem.
What You'll Gain:
This course provides approximately 15 hours of structured content, plus access to a supportive Q&A forum with existing discussions and solutions. You'll also receive all course materials and organized code for practical application.
Key Skills You'll Master:
- Python Fundamentals: Build a strong foundation, covering everything from Python installation to advanced concepts like object-oriented programming and practical task automation.
- Sympy: Become proficient in symbolic algebra using Sympy. Solve complex equations, differential equations, and perform calculus functions. A powerful alternative to Matlab. Includes numerous exercises and challenges.
- Numpy: Harness the power of Numpy for efficient array manipulation and numerical computing.
- Pandas: Discover Pandas, the leading Excel replacement for data analysis. Learn to perform data filtering, create pivot tables, generate insightful graphs, and handle real-world datasets.
- Matplotlib: Develop expertise in Matplotlib to create compelling charts and interactive dashboards for data visualization.
- Scipy: Explore Scipy, the core of computational mathematics in Python. Learn linear algebra, perform integrals, and find numerical solutions to ordinary differential equations (ODEs). Extensive exercises included.
Ready to advance your skills? Watch the introductory lesson to explore the course structure and see what you can achieve with Python!
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