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 brief workshop will introduce you to the basic concepts of supercomputing and walk you through a humanities use-case based on JSTOR data. You will learn the difference between HPC and HTC, how to log into Rice’s supercomputing clusters, how to schedule a job, how to monitor resource usage, and the basics of concepts like message passing and load-balancing.
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.
Want to have more practices with Tableau? Come to this project-based course, where you could sharpen your Tableau skills. You will use the provided data files to answer a few questions. Your solutions could be a single-page viz or a multi-page data story. You will need to use the skills taught in the previous Tableau workshops to complete the projects, with guidance and help from the instructor along the way.
This workshop will cover the following topics:
- Merge data from different data sheets/datasets
- Create parameters and calculated fields
- Understand differences between table calculation and regular calculation
- Use quick table calculations
- Create regular calculations on number, string, and date
- Add analytics objects such as reference line to the view
Ever wonder how to get more out of your PDF files? This short course will show how to optimize PDFs for both search engines and searchers, techniques for handling common problems when creating PDFs and methods for exporting content.
Tableau is a fast rising and award-winning data visualization tool in Business Intelligence (BI) and Analytics Platforms. It helps people see and understand data. In the presentation part of the workshop, we will introduce some basic BI terms, Tableau products, and some limitations of Tableau Public.
In the hands-on part of the workshop, using the DMC equipment circulation data as a sample data set, we will cover:
• how to connect to data
• how to create charts to visualize data in worksheets
To reach potential employers, collaborators, students and readers, academics need to establish and maintain a compelling web presence. This hands-on workshop will explore how to develop such a online profile, including:
creating a cohesive online presence
sketching out an academic website