Jupyter notebooks for efficient data science workflows¶
Jupyter notebooks are ideal for exploratory data analysis. They have therefore become the de facto standard for exploratory data analysis and rapid prototyping. But that’s not all: the range of functions continues to grow thanks to countless extensions and opens up further utilisation options.
Training objective¶
You will not only be able to use Jupyter notebooks for rapid prototyping and exploratory data analyses, but your entire research process will also become faster and more reliable. You will also gain an overview of Jupyter extensions that will open up a whole new range of possible uses.
Target group¶
Data scientists and system engineers who want to set up and efficiently use a research infrastructure based on Jupyter Notebooks.
Course content¶
Day 1
Introduction to Jupyter Notebooks
Jupyter paths and configuration
Parameterisation and scheduling
Adding interactive graphical elements
Day 2
Collaboration
Testing
Create publications, presentations and reports
Day 3
Creating software environments for reproducible results
Versioning
JupyterHub and BinderHub
What we offer¶
In our in-house and online seminars, we customise the content exactly to your needs. We coordinate the content with you in advance. We will be happy to provide you with a customised offer.
Your advantages:
📈 Coordinated content:
💁 Personal preliminary discussion
🤝 Customised content
📖 Training documents
📃 Certificate
🧑💻 Trainers from the field
🫴 Mentoring and 1:1 coaching
Price:
from €2.880 (plus VAT)
Get in touch¶
Do you have a question that is not answered here? Veit will be happy to answer your questions and create a customised offer for your training.
