Data @ Rice
Every day, thousands (if not more) of programmers, statisticians, data scientists, information professionals, and journalists use Jupyter, an open-source web app that interactively presents live code augmented with visualizations and narrative text. Known as Notebooks, these interactive scripts are perfect for working with (or teaching) coding, as well as telling an unusual story aided by visuals. In this short course, we introduce the basics of installing Jupyter and creating your first notebook.
This is a hands-on workshop that introduces you to Python, one of the most popular programming languages. It covers the basic concepts, conditional statements and loops, functions, etc. Students will begin coding by solving sample problems. A line-by-line explanation will be offered for some real life Python problems as well.
This is a workshop for absolute beginners. If you have some background in Python, please skip this one and check out other Python-related workshops.
SPSS is a widely used program for statistical analysis in social science. SPSS allows you to perform highly complex data analysis with simple instructions. In this workshop we will take a step-by-step approach to the software through hands-on activities. No previous knowledge of SPSS is needed.
Do you have data that you need to organize or analyze? This short course will cover techniques for organizing, importing, manipulating and summarizing your data using advanced Excel features such as data lists, pivot tables and functions. It will also provide tips for using Excel productively. Use of these Excel features will help you to organize, visualize and gain insights from your data.
Note: This is part I of the Using Excel to Manage and Analyze Data workshops. Part II will cover Excel’s Pivot Table feature.