Day 43-45 of my data analytics journey has been a deep dive into Exploratory data analysis. This phase was all about the "Why" and the "How" of preparing data for analysis. My EDA Roadmap Level-Up: Structural Foundation: I learnt the systematic steps of EDA,from Data Sourcing to the core Cleaning phase where the dataset is audited for quality. Data Integrity: Covered the logic behind handling Invalid Values and the different Types of Data (Categorical vs. Numerical) and the different types of Analysis Outlier Management: Learnt how to spot Outliers and the different strategies for handling them Feature Scaling: Understood the necessity of bringing features into the same range, learning why techniques like Standardization and Normalization are non-negotiable for unbiased analysis. Refinement: Covered the different types of analysis and how to identify redundant or inconsistent features to ensure the dataset is lean and accurate. Onto the next 🥂 #buildinginpublic #dataanalytics

Day 1 of learning #DataScience 🚀 Starting with SQL. I’ll share my daily progress, wins, & challenges. Accountability growth = let’s go! #SQL #LearnByDoing

ось чому я не користуюсь vscode