Introduction to Data Analytics with Pandas

Always wanted to learn how to analyse big amounts of data and gain valuable information out of it? Here we do just that! This event gives an introduction to data analytics with Pandas.

Jan 12, 2023, 5:00 – 7:00 PM

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Key Themes

Machine Learning

About this event

Do you like to travel? Are you having a hard time looking at the excessive prices of hotel rooms? In the most recent years, an alternative to classical hotels emerged. There's a company that focuses on pairing up people looking for accommodation and another party having a spare room: Airbnb.

Let's say, you want to visit Berlin and plan to stay overnight. Where are most accommodations listed within Berlin? Are there districts more expensive than others? How much more expensive are apartments in comparison to a single room? Over the course of the year, are there times with peaks in tourism that I can avoid if I don't like crowds? How does the pandemic in 2020 affect Airbnb?

We've got a data set in store to answer these questions and many more. Check-in on our Data Analytics Event presented by Method Park by UL and let us give you insights on how powerful Data Analytics can be. Attendees will also get a participation certificate which might come in handy for your Data Science career.

We will use data science to answer our and your questions!

RSVP now! Limited Seats!

Speakers

  • Maximilian Lattka

  • Haydar Genc

Facilitator

  • Philipp Zagar

    TUM

    M.Sc. Computer Science

Organizers

  • Philip Rehker

    GDSC Lead

  • Tan-Colin Wei

    GDSC Lead

  • Layla Zadina

    Core Team Member

  • Florian Hoppe

    Core Team Member

  • Justus Beck

    Core Team Member

  • Mohammad (Hamudi) Naanaa

    Core Team Member

  • Maria Pospelova

    Core Team Member

  • Philipp Zagar

    Core Team Member

  • Simon Huang

    Core Team Member

  • Florian Donhauser

    Core Team Member

  • Muhtasham Oblokulov

    MunichNLP

    Core Team Member

  • Maksym Bondarenko

    TUM

    Core Team Member

  • Alexander Wiener

    Core Team Member

  • Yassine Souissi

    Core Team Member

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