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.
GDG Organizer
INFINITEWARE
GDG Organizer
Google Cloud Champion Innovator
GDG Organizer
GDE in Flutter & Dart
Tamkeen
Sineor officer
Gudjuju Web Developments
CEO
Partner Organizer