DataCleaning

Day 6 – Data Wrangling & Cleaning with Python & R

Introduction In 2025, 80% of a data scientist’s time is spent on data wrangling and cleaning. Raw data is messy: missing values, duplicates, inconsistent formats, and errors are everywhere. Without proper cleaning, even the most advanced ML models fail. At curiositytech.in(Nagpur, 1st Floor, Plot No 81, Wardha Rd, Gajanan Nagar), we emphasize hands-on practice in […]

Day 6 – Data Wrangling & Cleaning with Python & R Read More »

, , , ,

Day 4 – Data Cleaning & Preparation: The Foundation of Good Analysis

Introduction (Real-World Style) Every analyst—whether in a multinational company or at a small café in Nagpur—faces the same frustrating truth: most datasets are messy. Before the glamour of dashboards, machine learning, or storytelling, comes the often-ignored step—data cleaning & preparation. When I train students at CuriosityTech.in, I tell them: “Data analysis is like cooking. If

Day 4 – Data Cleaning & Preparation: The Foundation of Good Analysis Read More »

, , ,