Practical introduction to data cleaning and behind the scenes

We hear a lot about data preparation and clean data before doing a Data Analysis or Data Science job, even an AI or Machine Learning job. And that around 90% of an analyst's work is cleaning and transforming data. In this session, we will focus on a practical use case from a real life scenario, where we will have a problem and how we will tackle it from step 1 until the data is clean and ready for

Jul 11, 2020, 1:00 – 3:00 PM

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Key Themes

About this event

We hear a lot about data preparation and clean data before doing a Data Analysis or Data Science job, even an AI or Machine Learning job. And that around 90% of an analyst's work is cleaning and transforming data. In this session, we will focus on a practical use case from a real life scenario, where we will have a problem and how we will tackle it from step 1 until the data is clean and ready for data analysis. By step 1 we mean understanding the problem, understanding on how to get the data, then assuming we have the data or generate it (as a bonus for testing), and then work on it and clean / transform it to be ready for Data Analysis. Data Analysis itself is outside the scope of this session.

Organizers

  • Ayesha Abduljalil

    GDG Organizer

  • Ameen Altajer

    INFINITEWARE

    GDG Organizer

  • SayedAli Alkamel

    GDE in Flutter & Dart

  • Mohamed Buallay

    Tamkeen

    Sineor officer

  • SADEQ NAYEM

    Partner Organizer

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