Datacamp-Python-Exercises and DataCamp-Projects

These are complements: one contains DataCamp's structured exercise content while the other contains DataCamp's project-based capstone assignments, which learners typically work through sequentially in the same bootcamp curriculum.

Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 16/25
Stars: 16
Forks: 11
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
Stars: 8
Forks: 7
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Datacamp-Python-Exercises

skupriienko/Datacamp-Python-Exercises

Data-Science Python courses from DataCamp

These exercises help data science learners practice fundamental Python skills through DataCamp course content. You'll input your Python code to solve problems and receive immediate feedback, ultimately solidifying your understanding of data manipulation, analysis, and visualization. This is ideal for students or professionals new to data science looking to master Python.

data-science-education python-programming-practice skill-development data-analysis-training

About DataCamp-Projects

tawabshakeel/DataCamp-Projects

Data Camp Python Projects

This collection of Python projects helps data analysts, researchers, and domain experts tackle a wide array of real-world data challenges. It takes various forms of raw data, like news headlines, app store metrics, or historical health records, and transforms them into actionable insights, predictions, or visualizations. Practitioners can gain an understanding of market trends, social networks, or public health patterns.

data-analysis market-research public-health social-science financial-analysis

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