Python from Zero to Hero Part 1, Certificate | Maastricht University | Maastricht, Netherlands
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Certificate On Campus

Python from Zero to Hero Part 1

7 days
Duration
599 EUR/year
599 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

This course is the first module of a Maastricht Summer School series on Python for (scientific) research.

Overview

In this Python course, you will be introduced to Python, a pythonic way of working and thinking, and to web scraping—a powerful method to collect born-digital data for your (scientific) research projects.Python is currently the most popular programming language in the world, according to the TIOBE Index (www.tiobe.com/tiobe-index/). TIOBE ranks programming languages by popularity, and Python has been five times the “language of the year” and is steady in the top 3 since 2018. Python is such a versatile language that it can be used for a wide variety of applications, such as app and web development, data science, machine learning, artificial intelligence, game development, and much more.In this course, no prior knowledge of Python is required—we will start at the absolute basis. You will be gradually trained from scratch. We will start with the very basic steps, including getting to know the Python language and its grammar up until a hackathon exercise in which you will collaboratively build your web scraper.This course is offered in tandem with “Python from Zero to Hero Part 2,” which builds further on the skills and knowledge built in this course.

Programme Structure

In this comprehensive four-day workshop, you will dive into the magic world of programming with Python. We will start with the very basics such as pythonic variables, data types, data structures, loops, functions, and modules. Gradually you will work towards the development of your own web scraper relying on HTML extraction and browser automation. Web scraping is the process of automatically extracting data from websites. With a simple computer program of a few Python lines, we can browse websites and collect all desired information (including text, images, links, etc.) in a systematic way.

This course will follow a workshop-like format, combining lectures with hands-on exercises and assignments. By the end of the course you will be able to write your own Python code to automate everyday practices, and autonomously build a web scraper to sift through large volumes of web data.

Key information

Duration

  • Full-time
    • 7 days

Start dates & application deadlines

Language

English

Credits

2 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Maastricht University and/or in Netherlands, please visit Student Insurance Portal.

Tuition Fee

To always see correct tuition fees
  • International

    599 EUR/year
    Tuition Fee
    Based on the tuition of 599 EUR per year during 7 days.
  • EU/EEA

    599 EUR/year
    Tuition Fee
    Based on the tuition of 599 EUR per year during 7 days.

Living costs for Maastricht

700 - 1170 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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