# SENATOROVAI/Data-Science-For-Beginners-from-scratch-course

<https://repo.masters-masters.com/en/repos/SENATOROVAI/Data-Science-For-Beginners-from-scratch-course>

[Home](https://repo.masters-masters.com/en) › [SENATOROVAI](https://repo.masters-masters.com/en/owners/SENATOROVAI) › [Data-Science-For-Beginners-from-scratch-course](https://repo.masters-masters.com/en/repos/SENATOROVAI/Data-Science-For-Beginners-from-scratch-course)

SENATOROVAI/Data-Science-For-Beginners-from-scratch-course has 211 stars on GitHub. Its RepoMasters card: Prototype tier. Data science for beginners involves…

| Field | Value |
| --- | --- |
| Owner | [SENATOROVAI](https://repo.masters-masters.com/en/owners/SENATOROVAI) |
| Stars | 211 |
| Forks | 164 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | data-science, mathematics, python, senatorov, ai, algebra, calculus, datascience, datascience-machinelearning, machine-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SENATOROVAI/Data-Science-For-Beginners-from-scratch-course](https://github.com/SENATOROVAI/Data-Science-For-Beginners-from-scratch-course) |

## Repository

Data science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data collection, cleaning, analysis, modeling, and communicating findings. Beginners should start with Python, basic math (linear algebra/calculu…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.