Data Analysis, Web Scraping, Visualisation & OOP in Python
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Data Analysis, Web Scraping, Visualisation & OOP in Python
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Startdata en plaatsen
placeDen Bosch 24 sep. 2026 tot 29 sep. 2026check_circle Startgarantie Toon roosterevent 24 september 2026, 09:00-16:30, Den Bosch event 25 september 2026, 09:00-16:30, Den Bosch event 28 september 2026, 09:00-16:30, Den Bosch event 29 september 2026, 09:00-16:30, Den Bosch |
placeDen Bosch 23 nov. 2026 tot 26 nov. 2026check_circle Startgarantie Toon roosterevent 23 november 2026, 09:00-16:30, Den Bosch event 24 november 2026, 09:00-16:30, Den Bosch event 25 november 2026, 09:00-16:30, Den Bosch event 26 november 2026, 09:00-16:30, Den Bosch |
Beschrijving
In this four-day course, you will deepen your knowledge of advanced Python topics such as object-oriented programming, web scraping, data analysis and visualisation. You will work on hands-on milestone projects that guide you step by step towards building a complete application from data scraping to interactive dashboards.
What you'll learn
- Exception handling and best practices.
- Object-oriented programming (advanced).
- Working with external data (APIs, web scraping).
- Requests and BeautifulSoup.
- Data analysis with Pandas.
- Visualisation with Matplotlib.
- Logging and debugging.
- Project-based working in Python.
Who is this for
- People with basic Python experience.
- Data engineers a…
Veelgestelde vragen
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.
In this four-day course, you will deepen your knowledge of advanced Python topics such as object-oriented programming, web scraping, data analysis and visualisation. You will work on hands-on milestone projects that guide you step by step towards building a complete application from data scraping to interactive dashboards.
What you'll learn
- Exception handling and best practices.
- Object-oriented programming (advanced).
- Working with external data (APIs, web scraping).
- Requests and BeautifulSoup.
- Data analysis with Pandas.
- Visualisation with Matplotlib.
- Logging and debugging.
- Project-based working in Python.
Who is this for
- People with basic Python experience.
- Data engineers and data scientists looking to sharpen their Python skills.
Prerequisites
- Learn to Code in Python with Hands-on Projects (or equivalent experience).
Programme
- Day 1: Review of basics, exception handling, password generator project.
- Day 2: Working with external data, web scraping, weather data scraper project.
- Day 3: Data analysis, visualisation, data dashboard project.
- Day 4: Logging, integration, final project (scraper with visualisation and logging).
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Deel je ervaring
Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.