Abhijith14/Data-Analysis-Python
This covers all the basic fundamentals of data analysis with Python and Pandas. All codes and visualization results can be found.
This collection of resources helps anyone new to data analysis understand how to explore and summarize datasets using Python. You'll learn how to take raw data, clean it, calculate key statistics, and create visualizations to reveal patterns and insights. It's designed for students, researchers, or business professionals who need to make sense of numerical information.
No commits in the last 6 months.
Use this if you are a beginner looking for practical examples and guidance on how to perform fundamental data analysis tasks with Python.
Not ideal if you are an experienced data analyst seeking advanced statistical modeling techniques or machine learning algorithms.
Stars
10
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 18, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Abhijith14/Data-Analysis-Python"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
rjurney/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
yogeshhk/TeachingDataScience
Course notes for Data Science related topics, prepared in LaTeX
linogaliana/python-datascientist
Dépôt associé au cours Python pour data scientists (ENSAE 2e année)
GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan,...
PacktWorkshops/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science