R: Exploratory Data Analysis
Feeling overwhelmed by your data? Unsure of where to start? This course in Exploratory Data Analysis (EDA) provides practical tools and techniques to help you understand and make sense of complex datasets. EDA uses intuitive graphical and numerical methods to reveal hidden patterns, relationships, and trends within data—helping you identify insights worth pursuing before making assumptions or performing advanced statistical analyses. EDA is an essential first step for researchers, analysts, and decision-makers alike, as it offers a way to build intuition about your data and discover compelling avenues for deeper investigation.
Code: | FS25-AREDA-01 |
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Language: | English |
Referent: | Fernando Pedraza Perez |
Dates: |
Fri
13.06.2025
(09:00 - 16:00 o'clock)
Fri 20.06.2025 (09:00 - 16:00 o'clock) |
Location and room: |
Universität Zürich Irchel, Winterthurerstrasse 190, 8057 Zürich, Switzerland Y10-E-25 Show on Google Maps |
Occasion: | Further information about the offer. |
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