Cursusaanbod
Python Gegevensstructuren en -bewerkingen.
- Integers en floats
- Strings en bytes
- Tuples en lijsten
- Dictionaries en geordende dictionaries
- Sets en frozen sets
Object-Oriented Programming met Python
- Overerving
- Polymorfisme
- Statische klassen
- Statische functies
- Decorators
Data Analysis met Pandas
- Data frame (pandas)
- Data opschonen
- Vector data gebruiken in pandas
- Data wrangling
- Data sorteren en filteren
- Aggregatiebewerkingen
- Tijdreeksen analyseren
Data Visualization
- Diagrammen plotten met matplotlib
- Matplotlib gebruiken vanuit pandas
- Kwalitatieve diagrammen maken
Vectoriseren van gegevens in Numpy
- Numpy arrays maken
Python Voor het web
- Pakketten voor webverwerking
- Web crawling
- Parsen van HTML en XML
- Webformulieren automatisch invullen
Vereisten
- Beginnende tot gemiddelde programmeerervaring.
- Kennis van wiskunde en statistiek.
- Kennis van databaseconcepten.
Testimonials (5)
Het feit dat we meer praktische oefeningen hebben met meer gegevens die lijken op wat we in onze projecten gebruiken (satellietbeelden in rasterformaat)
Matthieu - CS Group
Cursus - Scaling Data Analysis with Python and Dask
Automatisch vertaald
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Cursus - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Cursus - Build REST APIs with Python and Flask
Trainer develops training based on participant's pace
Farris Chua
Cursus - Data Analysis in Python using Pandas and Numpy
I mostly enjoyed everything.