Classes & Events | Fondren Library

Rice University

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8am to
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8am to
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8am to
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10am to
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Entrance to Fondren is limited to Rice faculty, students and staff.

Event/Description	Date/Time/Location
ORION Virtual Machines - Private Cloud for Research Join the Center for Research Computing for a webinar demonstrating the use of Rice's ORION Private Research Cloud. Topics covered will include:	Friday, September 25, 2020 - 2:00pm to 3:00pm Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.
Python for Beginners 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.	Tuesday, September 29, 2020 - 3:00pm to 4:30pm Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.
Python for Beginners 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.	Wednesday, September 30, 2020 - 3:00pm to 4:30pm Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.
Excel Pivot Tables Excel pivot tables help you to quickly summarize, report and find patterns in your datasets. This short course will cover how to setup a pivot table from scratch and special techniques to make the most of this feature.	Thursday, October 1, 2020 - 1:00pm to Thursday, December 31, 2020 - 1:00pm Canvas. Course link will be emailed to you a few days before the workshop if you sign up.
Python Data Visualization with Matplotlib Matplotlib is the most popular data visualization library in Python. It allows us to create figures and plots. This tutorial is intended to help you get up-and-running with Matplotlib quickly.	Tuesday, October 6, 2020 - 3:00pm to 4:30pm Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.
Python Data Visualization with Matplotlib Matplotlib is the most popular data visualization library in Python. It allows us to create figures and plots. This tutorial is intended to help you get up-and-running with Matplotlib quickly.	Wednesday, October 7, 2020 - 3:00pm to 4:30pm Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.
Introduction to OpenRefine OpenRefine is a handy desktop application that can help clean inconsistent data. This session will introduce the program and how it can be used to get an overview of a dataset, resolve inconsistencies, split data into granular parts, and match local data points to external datasets.	Thursday, October 8, 2020 - 2:00pm to 3:00pm Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.
Python-Pandas Pandas is one of the most useful Python libraries, used for the creation, manipulation, and analysis of data tables. Attendees will learn the fundamentals of table creation and manipulation in Pandas.	Tuesday, October 13, 2020 - 3:00pm to 4:30pm Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.
Python-Pandas Pandas is one of the most useful Python libraries, used for the creation, manipulation, and analysis of data tables. Attendees will learn the fundamentals of table creation and manipulation in Pandas.	Wednesday, October 14, 2020 - 3:00pm to 4:30pm Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.
Introduction to SQL So you’ve hand-made a spreadsheet with thousands of entries. You’ve got pivot tables and record lookups and formulas you don’t even remember writing from months back. Excel is freaking out and crashing all the time. It’s time to use a database!	Thursday, October 15, 2020 - 10:00am to 11:30am Zoom. Zoom meeting ID and password will be emailed to you a day before the workshop if you sign up.