Master Python programming by solving scientific projects
What you'll learn
- Python
- Scientific programming
- Data visualization
- Time series analysis
- Modeling
- Regular expressions
- Spectral analysis
- Filtering
- Data clustering
- Gradient descent
- Text processing
- Data projects
- Data animation
Requirements
- Know how to use a computer!
- Motivation to learn Python coding
Description
Unleash Your Python Skills With Real World Scientific Projects
Welcome to "Master Python Programming by Solving Scientific Projects". If you're searching for a course that takes a fresh, hands-on approach to learning Python while solving real-world scientific problems, you've found the right one. This course isn't just about learning a list of Python functions. It's about getting knee-deep into Python's capabilities, understanding its quirks, and leveraging it to tackle fascinating projects.
Why Choose This Course?
Python is a dynamic language, widely used in the scientific community. But you're probably thinking, "Why should I choose this Python course out of hundreds available on Udemy?" Let's cut to the chase and focus on what makes this course unique:
Problem Solving Approach: This course doesn't just teach Python; it reinforces the learning with an array of scientific projects that you might encounter in your academic, professional, or personal life. This strong focus on project-based learning equips you with hands-on coding experience. You'll learn how to think like a programmer and apply your skills in practical situations.
Transparency: I’m not a Python fanatic who views it as the perfect language. I acknowledge that, like every language, Python has its idiosyncrasies. During this course, I will not shy away from Python's annoying or confusing aspects. Instead, I’ll give you a realistic and comprehensive understanding of the language, including its strengths and weaknesses.
Broad Spectrum of Projects: From text processing to time series filtering, from simulating a brain circuit to plotting state-space trajectories, from biomedical signal processing to cryptocurrency investing, this course brings a wide range of projects to the table. Each project is meticulously crafted to ensure you gain the maximum knowledge and practical skills from it.
Interactive Community: In the course Q&A, you'll have the chance to interact with me and your fellow students. Here, I discuss Python coding strategies, data types, scientific coding best practices, and more. Sharing your own clever code solutions and learning from others' experiences will further enhance your learning journey.
Coding with ChatGPT: Gain insights on how to use ChatGPT, a sophisticated AI language model developed by OpenAI, to assist you with boilerplate code and debug your scripts. This interactive feature makes coding more intuitive and efficient, especially when you're stuck with bugs or need a quick solution.
What should you do now?
Take a look at the preview videos to get a glimpse of my teaching style and the course content.
Check out the reviews of this course. The positive feedback and experiences shared by students will give you a good sense of what to expect.
Also, do check out the reviews of my other courses to understand my dedication and passion for teaching.
Embark on this exciting journey and join today! Together, we will dive deep into the world of Python, solving intriguing scientific problems along the way. This course is more than just a learning experience—it's an adventure through the realms of Python and scientific coding.
Who this course is for:
- Total beginners to Python
- (optional) some experience in other languages (e.g., MATLAB or R)
- Interest in using Python for data, science, engineering, physics, biology
Featured review
Instructor
- 4.6 Instructor Rating
- 46,020 Reviews
- 246,225 Students
- 26 Courses
I am a full-time educator and writer, and former professor of neuroscience. I "retired" from that position so I could focus my time and energy creating high-quality educational material just for you.
I have 20 years of experience teaching programming, data analysis, signal processing, statistics, linear algebra, and experiment design. I've taught undergraduate students, PhD candidates, postdoctoral researchers, and full professors. I have taught in "traditional" university courses, special week-long intensive courses, and Nobel prize-winning research labs. I have >100 hours of online lectures on neuroscience data analysis that you can find on my website and youtube channel. And I've written several technical books about these topics with a few more on the way.
I'm not trying to show off -- I'm trying to convince you that you've come to the right place to maximize your learning from an instructor who has spent two decades refining and perfecting his teaching style.
Over 200,000 students have watched over 15,000,000 minutes of my courses. Come find out why!
I have several free courses that you can enroll in. Try them out! You got nothing to lose ;)
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By popular request, here are suggested course progressions for various educational goals:
MATLAB programming: MATLAB onramp; Master MATLAB; Image Processing
Python programming: Master Python programming by solving scientific projects; Master Math by Coding in Python
Applied linear algebra: Complete Linear Algebra; Dimension Reduction
Signal processing: Understand the Fourier Transform; Generate and visualize data; Signal Processing; Neural signal processing