The reason most beginners fail at data science — they start at step 5. Started your DS journey?? A real DS project has 8 steps: ① Problem Definition ② Data Collection ③ Data Cleaning (this alone takes 80% of your time) ④ EDA — Exploratory Data Analysis ⑤ Model Building ⑥ Model Evaluation ⑦ Deployment ⑧ Communication & Reporting Most tutorials only teach you ⑤ and ⑥. The most underrated one? Step 8. If you can’t explain your model to a non-technical person, it won’t get used. Learning this from scratch and documenting every step. Resource in bio. Which step surprised you most? Drop it below. #DataScience #DataScienceLifecycle #MachineLearning #LearnDataScience #EDA PythonForDataScience aartii_py WomenInTech TechReels