The Data @ Rice Workshop Series, sponsored by Fondren Library and the Center for Research Computing, provides hands-on training in the basics of organizing, documenting, analyzing, and visualizing your data. Spring sessions will be offered via Zoom and Canvas.

Spring sessions include:

• Introduction to SQL
• Data Management
• The Absolute Basics of Jupyter Notebooks
• GitHub Intro
• GitHub for R Users
• Python for Beginners
• Python-Pandas
• Python Visualization with Matplotlib
• Python/R Project – Covid 19 Data Analysis with Python & R
• Python for Excel Users
• Census with Python
• Introduction to R Programming
• R Data Manipulation and Visualization
• R Visualization with ggplot
• Intro to Predictive Modeling with Multiple Linear Regression
• Interactive Data Visualization Apps with Plotly (Python and R)
• ORION Virtual Machines – Private Cloud for Research
• Remote Access to Computing Resources
• Excel Pivot Tables

Course descriptions and registration can be found on the library website.

This free workshop series, sponsored by Fondren Library and the Center for Research Computing, provides hands-on training in the basics of organizing, documenting, analyzing, and visualizing your data. Summer 2020 sessions will be held virtually via Zoom.

Summer 2020 workshops include:

• Introduction to Access
• Introduction to SQL
• Data Management
• The Absolute Basics of Jupyter Notebooks
• Introduction to R
• R Visualization & Data Manipulation
• Python for Beginners
• Python-Pandas
• Python Visualization with Matplotlib
• Parallel Python
• Python/R Project – Covid 19 Data Analysis with Python
• ORION System
• R visualization with ggplot2

Course descriptions and registration can be found on the library website.

The Research Data Services team is also available to consult on data management, Excel, Python, R, and other data topics. To schedule an appointment, fill out this request form.

This free workshop series, sponsored by Fondren Library and the Center for Research Computing, provides hands-on training in the basics of organizing, documenting, analyzing, and visualizing your data.

Spring 2020 workshops include:

• • Using Excel to Manage and Analyze Data
  • Excel Pivot Tables
  • Introduction to Time Series Analysis
  • Introduction to Access
  • Introduction to SQL
  • How to Share Your Data
  • The Absolute Basics of Jupyter Notebooks
  • Introduction to GitHub
  • Introduction to R
  • Introduction to Shell Scripting in Bash
  • R Visualization & Data Manipulation
  • Python for Beginners
  • Python-Pandas
  • Python Visualization with Matplotlib
  • Web Scraping with Python
  • Introduction to Rice’s Research Computing Infrastructure
  • Excel Charts Tips for Visualizing Data
  • R visualization with ggplot2

Course descriptions and registration can be found on the library website.

One-on-one consultation is also available. Open office hours for help with R, Python, or GitHub is available 9:00 a.m.-10:00 a.m. on Tuesdays or 1:00 p.m.-2:00 p.m. on Thursdays in the GIS-Data Center classroom (basement of Fondren Library). For assistance with issues related to data management, Excel, and other topics, please schedule an appointment using the library’s request form.

Software Carpentry Workshop

Thursday, February 13-Friday, February 14, 2020

9 am- 5 pm

Develop your computing skills in a free, hands-on workshop taught by experienced instructors. The workshop will  combine short tutorials and hands-on practical exercises. You do not need to have any prior knowledge or experience.

The two-day program will explore:

• Automating tasks with the Unix shell
• Version control with Git
• Introduction to programming with Python

Registration is limited to Rice University faculty, students, and staff. Additional information about the sessions and registration can be found on the library webpage.

This free workshop series, sponsored by Fondren Library and the Center for Research Computing, provides hands-on training in the basics of organizing, documenting, analyzing, and visualizing your data.

Fall 2019 classes include:

• Using Excel to Manage and Analyze Data
• Introduction to Time Series Analysis:
• Introduction to SPSS
• Introduction to Access
• Introduction to SQL
• Introduction to Data Management
• The Absolute Basics of Jupyter Notebooks
• Introduction to GitHub
• Introduction to R
• Introduction to Shell Scripting in Bash
• Introduction to TensorFlow
• R Visualization and Data Manipulation
• Python for Beginners
• Python-Pandas
• Python Data Visualization with Matplotlib
• Web Scraping with Python
• Non-Programmer’s Introduction to Rice’s Computing Infrastructure: Virtual Machines, Storage, and Supercomputing
• Excel Charts Tips for Visualizing Data
• R visualization with ggplot2

Additional information and registration can be found at https://library.rice.edu/data

This free workshop series sponsored by Fondren Library and the Center for Research Computing provides hands-on training in the basics of organizing, documenting, analyzing, and visualizing your data. Come learn and enjoy free donuts! [Registration is limited to current Rice students, faculty, and staff or Friends of Fondren at the patron level and above]

Summer 2019 Courses include:

• Python for Beginners
• Python-Pandas
• Introduction to Effective Data Visualization
• Using Excel to Manage and Analyze Data
• Introduction to Data Management
• Introduction to GitHub
• Colors in Data Visualization
• Excel Charts Tips for Visualizing Data
• Using Rice’s Private VM Cloud
• Introduction to R
• R Visualization and Data Manipulation
• Python Data Visualization with Matplotlib
• The Absolute Basics of Jupyter Notebooks
• Introduction to Time Series Analysis

To learn more about courses and register, please visit http://library.rice.edu/news/data-and-donuts-workshop-series

This free workshop series sponsored by Fondren Library and the Center for Research Computing provides hands-on training in the basics of organizing, documenting, analyzing, and visualizing your data. Come learn and enjoy free donuts! [Registration is limited to current Rice students, faculty, and staff or Friends of Fondren at the patron level and above]

Spring Courses include:

• Using Excel to Manage and Analyze Data
• Introduction to Microsoft Access
• Introduction to Data Management
• The Absolute Basics of Jupyter Notebooks
• Introduction to R
• R Visualization and Data Manipulation
• Python for Beginners
• Pandas and Data Visualization Basics in Python
• Virtual Machines: Theory and Use Cases
• Introduction to IBM SPSS Statistics

To learn more about courses and register, please visit http://library.rice.edu/news/data-and-donuts-workshop-series