Home - clizarraga-UAD7/Workshops GitHub Wiki
Welcome to the UA Data Science Institute Workshops wiki!
(UA Biosciences Research Labs. Image by author, CC)
Here you will find a collection of getting started Workshops prepared by the staff of the Data Science Institute.
General Tools
- Introduction to the Command Line Interface Shell
- Unix Shell - Command Line Programming
- Introduction to Github Wikis
- Introduction to Github
- Github Wikis and Github Pages
- Introduction to Docker
R
Python for Data Science
Description.
Python is the top programming language used in general and in Data Science. This workshop for beginners, focuses in skill development in data wrangling for carrying out an exploratory data analysis using the basic Python libraries NumPy and Pandas and the visualization libraries Matplotlib and Seaborn.
Learning goals
- Use Jupyter Notebooks in Google Colab as an integrated development environment for programming in Python.
- Recognize a basic set of Pandas functions for data manipulation and visualization.
- Implement basic plots with Matplotlib and Seaborn: relational plots, distribution plots, categorical plots, multiplot grids.
- Interpret Time Series analysis and forecasting limits.
Topics covered
- Introduction to Python for Data Science - RezBaz AZ 2022.
- Jupyter Notebooks
- Pandas for Data Analysis
- Exploratory Data Analysis with Python
- Low-code Data Exploration Tools
- Outlier Analysis and Anomalies Detection
- Data Visualization with Python
- Introduction to Time Series Analysis
- Low-code Time Series Analysis
- Time Series Forecasting
- Overview of Machine Learning Algorithms
- Overview of Deep Learning Algorithms
Data Science in Geosciences
Presentations
More online resources
- Digital Learning Resources Library. Data Science Institute. The University of Arizona.
- Data Learning Resources. SESYNC, University of Maryland.
Created: 01/22/2022 (C. Lizarraga); Last update: 04/17/2023 (C. Lizarraga)