DataScienceUB/introduction-datascience-python-book
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
This project helps students and professionals learn how to extract valuable insights from various types of data. It provides practical case studies and Python code examples to understand core data science concepts, from statistical analysis to building recommender systems or performing sentiment analysis. This is ideal for upper-tier undergraduate and graduate students, or professionals seeking to gain hands-on data science skills.
456 stars. No commits in the last 6 months.
Use this if you are a student or professional in technical disciplines looking for a practical, Python-based introduction to data science concepts and applications.
Not ideal if you are an experienced data scientist looking for advanced, in-depth coverage of niche data science methods or a comprehensive reference collection.
Stars
456
Forks
568
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 29, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/DataScienceUB/introduction-datascience-python-book"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GoogleCloudPlatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan,...
rjurney/Agile_Data_Code_2
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
linogaliana/python-datascientist
Dépôt associé au cours Python pour data scientists (ENSAE 2e année)
yogeshhk/TeachingDataScience
Course notes for Data Science related topics, prepared in LaTeX
PacktWorkshops/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science