# @aartii.py on Instagram

- **Type:** Video
- **Original URL:** https://www.instagram.com/p/DWd-WHFD3ov
- **Gondola URL:** https://gondola.cc/posts/62680600-aartiipy-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/2341b3ff0b.jpg
- **Posted:** 2026-03-29T12:29:16.000+00:00
- **Account Owner:** Aarti Sinha (@aartii.py) — https://gondola.cc/aartii.py

## Caption

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

## Stats

- **Views:** 1,188
- **Likes:** 0
- **Shares:** 0
- **Comments:** 57

## Tags

datasciencelifecycle, eda, learndatascience, machinelearning, datascience

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