A fast, practical session to help you explore datasets

Uncover patterns, and validate insights with core statistics—using Python in Google Colab. You’ll learn Clean & profile data: missing values, outliers, distributions Visual EDA: histograms, box/violin plots, pairplots to spot signals Essential stats for decisions: confidence intervals, A/B testing basics, correlation vs. causation Quick reporting: turn EDA findings into clear recommendations Takeaway: a reusable EDA notebook template + checklist Join us at 7 PM GST. Register via the first comment. #decodingdatascience #dds #ExploratoryDataAnalysis #Statistics #Python #GoogleColab #DataScience #AI #ABTesting #EDA