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)
I will also be happy to call you back!