Data Science Essentials: From Jupyter to AI Tools

Do you find yourself encountering data science tools that your research needs, but are unsure how to get started? Curious about the latest tools for organizing, visualizing and understanding your dataset? Are you looking for a better theoretical understanding of key concepts in statistical analysis? 

Join us for this beginner-friendly, concept-focussed and practical introduction to the theory and practice of data science, from start to finish! Sessions cover topics such as data wrangling, statistics, visualization, exploratory data analysis, time series analysis, machine learning, natural language processing, deep learning, prompt engineering, and AI tools. 

Enhance your capabilities and take your data science research to the next level!
   
RESOURCES AND NOTES:

• REGISTER to join in-person or via Zoom.
• Data Science Essentials: From Jupyter to AI Tools wiki
• We meet in Weaver Science and Engineering Library, Rm 212.
• Zoom: https://arizona.zoom.us/j/86423223879
• There will be no workshop during Spring Break week.
• Content schedule and content are subject to change. 

Date  / Topic
01/16 Introduction to Jupyter Notebooks
01/23 Data Wrangling 101: Pandas in Action
01/30 A Probability & Statistics refresher
02/06 A Probability & Statistics refresher
02/13 Data Visualization Libraries: Matplotlib
02/20 Data Visualization Libraries: Seaborn
02/27 Exploratory Data Analysis
03/05 Spring break (No workshop)
03/12 Time Series Analysis
03/19 Time Series Forecasting
03/26 Machine Learning with Scikit-Learn
04/09 Natural Language Processing
04/16 Deep Learning
04/23 Prompt Engineering
04/30 AI Tools Landscape

REGISTER