Cleanse and validate data with Python

There are many different Python libraries that make it much easier to clean and validate data. We will use these libraries in practical examples to recognise and clean up problems in the data.

Training objective

You will be able to check whether data is missing or contains outliers. You will also be able to check the similarity of texts and, more generally, find duplicates in your data. You can find a schema in your data and check future data against this schema. You can also check whether your data matches certain hypotheses. You can transform your data to make it more suitable for certain simulations. Finally, you will also be able to map satellite data to geo-locations.

Target group

Anyone who wants to cleanse or validate their data.

Course content

Day 1

Recognising and filtering missing data and outliers
Deduplicate similar data
Create data schemas
Schema validation of the data

Day 2

Checking dynamic data and hypotheses
Prepare data for simulations
Assign satellite data to geo-locations

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:
- ← Introduction to Python
- ← Advanced Python
- → Numerical calculations with NumPy
- → Data visualisation with Python
- → Read, write and provide data with Python
💁 Personal preliminary discussion
🤝 Customised content
📖 Training documents
📃 Certificate
🧑‍💻 Trainers from the field
🫴 Mentoring and 1:1 coaching

Price:

from €1.920 (plus VAT)

Veit Schiele
Phone: +49 30 22430082
Send me an e-mail

I will also be happy to call you back!

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