Need help using the Python programming language?

We know some of our students are currently trying to learn Python, so we wanted to make you aware of some great LinkedIn Learning videos that can help.

But don’t you have to pay for LinkedIn Learning? No! Cranfield students and staff can access LinkedIn Learning free of charge to watch thousands of high-quality online training courses on technology, business, and creative skills led by experts in their field. You learn at your own pace and can gain recognised certificates for the courses you complete.

 How do I access LinkedIn Learning?

1. Visit the homepage and click sign in
2. Enter your Cranfield University email address
3. If prompted, select your account then enter your Cranfield password and authenticate is required.
4. To complete set-up follow the on-screen prompts. You can connect your learning account with your LinkedIn profile – select your preferred option and continue.

Note: Connection to LinkedIn is optional. You do not need a LinkedIn profile to use LinkedIn Learning.

Once you have activated your LinkedIn Learning account, you can log in to LinkedIn Learning​​. You will also see the Learning icon on the top navigation bar in LinkedIn.​

So what about Python?

If you are interested in learning or developing your skills in Python, we recommend the LinkedIn Learning courses below, but do take a look around as you will find many more courses available on Python and other programming languages.

Beginner level courses

• Python for Students
• Learning Python
• Python for Non-Programmers

Intermediate level courses

• Level Up: Python
• Intermediate Python for Non-Programmers
• Python for Data Science and Machine Learning Essentials Training Part 1

Advanced level courses

• Advanced Python
• Advanced Python: Working with Data
• Hands-On Advanced Python: Data Engineering Basics

More information about LinkedIn Learning is available from the IT Intranet page.

In-person workshop for doctoral students

An “Introduction to Python for science and engineering” session will also be running on Wednesday 13 November. This will be open to all PhD students as part of the Doctoral Researchers’ Core Development programme. It will take place at Cranfield campus and will comprise a crash course introduction to installing and using Python and the main scientific and engineering components (NumPy, SciPy, Matplotlib etc.) in your research. The workshop is in two parts  – two hours in the morning and two hours in the afternoon. 

Find out more and book your place 

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