amarallab / Introduction-to-Python-Programming-and-Data-ScienceLinks
Introduction to Python Programming and Data Science
☆63Updated 4 years ago
Alternatives and similar repositories for Introduction-to-Python-Programming-and-Data-Science
Users that are interested in Introduction-to-Python-Programming-and-Data-Science are comparing it to the libraries listed below
Sorting:
- Simply Statistics☆212Updated 4 years ago
- Task description and data for candidates applying to be a Data Analyst in the Discovery department at Wikimedia Foundation.☆111Updated 8 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 5 years ago
- Data visualization course material☆146Updated 6 months ago
- Course materials for Data Mining at the University of Washington's Professional and Continuing Education.☆38Updated 8 years ago
- D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.☆52Updated 3 years ago
- DataCamp Facebook Live Code Along Session 4: Learn techniques that guests on the DataFramed podcast say are their favourite. Enjoy!☆24Updated 7 years ago
- ☆314Updated 3 years ago
- Public documents for the Master of Data Science program at the University of British Columbia☆231Updated 5 months ago
- A repository of my Coursera latex code and notes☆361Updated 10 years ago
- Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course☆268Updated 8 years ago
- D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python☆66Updated 6 years ago
- Assets for data8.org☆111Updated last year
- The github repository for mathematical biostatistics bootcamp 2☆164Updated 7 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 4 years ago
- DataCamp Facebook Live Code Along Session 1: Enjoy.☆126Updated 8 years ago
- Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks☆263Updated last year
- Data Carpentry website (archive)☆101Updated last year
- Methods, tools, tips, and tricks for anyone interested in getting started doing data science for the social good.☆95Updated 6 years ago
- Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media☆237Updated 3 years ago
- Jupyter notebooks for Computational Content Analysis☆44Updated 8 years ago
- A guide to useful pandas features for intermediate-level data mungers☆35Updated 9 years ago
- Basic template for using Flask on Render☆73Updated 2 years ago
- Collection of stats, modeling, and data science tools in Python and R.☆222Updated 10 months ago
- "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.☆36Updated 7 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆169Updated 5 years ago
- Epidemic Modeling for Everyone☆294Updated 9 months ago
- The Code belonging to my course "Data Analysis in Python and pandas"☆68Updated 10 years ago
- Data journalism and easy to replicate notebooks using Python, R, and Web visualisations☆92Updated 7 years ago
- Introduction to R by Jonathan Cornelissen☆138Updated 3 weeks ago