Python for beginners
Python is one of the most widely used programming languages within Data Science. Here you combine your understanding of data and expert knowledge to optimize or automate decisions using machine learning/AI.
Python is a widely-used programming language which is used extensively in data analysis, data visualization, machine learning/AI, automation, web development and beyond. Python is beginner friendly since it is designed with human readability in mind. Moreover, it's free and open-source, boasting a vast ecosystem of open code libraries for various purposes.
Content
This webinar provides you with an introduction to all the most fundamental concepts within Python and programming more generally. The course takes place online in Zoom's webinar format, where there will be time for questions in the Q&A session along the way.
Target audience:
The webinar is suitable for both students and professionals, whether you have never used Python before or just need a gentle refresher. No prior knowledge of Python or programming in general is required.
Preparation for the webinar:
To participate in the webinar, you need to have a Google account, as we use Google Colab, which is Google's online integrated development environment (IDE) for Python.
Alternatively: If you do not wish to use Google Colab, you must have Python installed locally on your computer prior to the webinar (e.g., with the Anaconda distribution (https://www.anaconda.com/download) and have familiarized yourself on how to use an IDE such as Visual Studio Code.
Target audience:
- Using Python for simple arithmetic
- Defining and working with variables
- Knowing the most basic data types
- Numbers, text, lists, dictionaries, boolean values, and NumPy Arrays
- Importing libraries and using essential functions herefrom
- Writing conditional code with if/else statements
- Defining and using functions with arguments and return values
- Repeating code with loops
In addition to the above, you will also receive a handout to take home, which we will briefly review the contents of. In the handout, you will find examples of how to:
- Load data files into your development environment
- Visualize data
- Apply simple regression models
Instructor
Rune Højlund holds a master's degree in Physics and Technology from DTU and has several years of experience in programming, data analysis, and software development. He has taught in both physics and introductory programming courses and has also co-developed several learning apps for physics and mathematics.
Find more courses on IDA Campus
Our webinar is designed for beginners who want a more general understanding of the software.
For more advanced courses and content, you can find it among our many video courses on IDA Campus - find them right here: My page | IDA Learning Finally, let us know in the evaluation if you have a request for courses on a specific software or level!
For more advanced courses and content, you can find it among our many video courses on IDA Campus - find them right here: My page | IDA Learning Finally, let us know in the evaluation if you have a request for courses on a specific software or level!
Also check out our FAQ site where you can find answers to the most frequently asked questions related to webinars: FAQ about IDA webinars | IDA English
Live webinar
IDA Campus provides interactive live webinars conducted through Zoom. Join the instructor in real-time as they present and demonstrate the software. Throughout the webinar, you have the chance to ask questions and receive guidance to address any challenges you may encounter with Python.
Registration procedure
Once you have registered, you will receive a confirmation email. At the bottom of this email, you will find a link to the webinar. Log in via this link and you will be redirected to the site where the webinar will be shown. You will also have the option to add the webinar directly to your calendar.
If you have questions or problems logging in, you are welcome to contact IDA Campus at campus@ida.dk
Privacy info
If you would like to participate anonymously, we recommend signing up for a browser instead of using the Zoom software client or app, and when Zoom asks you to enter your name, you can enter "Anon" or another pseudonym. Zoom processes personal data in global data centers including the United States and the processing is carried out in accordance with the EU Commission's standard data protection regulations. Protection of personal data. For further details, we refer to the Zoom privacy policy available here: Privacy | Zoom
It is not permitted to share either the Zoom link or the link to the video with others, or to record audio and images of the webinar.
Registration
Are you not a member of IDA? To register, you need to create a user profile. Please note, creating a user profile gives you access to IDA's online services - you do not become a member of IDA.
Important information regarding personal data on participant lists
Your name, title and company will appear on the participant list for this event if you have previously consented or have consented to this in connection with the registration. The participant list is available to the organizer and the other participants at the event itself in the form of an online participant list. If you unsubscribe from the event, your information will no longer appear on the participant list.
You can read more about consent here
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This event is closed for registration.
Information