Workshop Schedule
Every semester the Digital Learning Lab prepares free workshops to help students, faculty, and staff members expand their knowledge of software programs. If there is a workshop topic you would like to see us offer, please email us at digital.learning@cgu.edu.
Be sure to read our workshop attendance policy
Note: Designated worksheets must be completed to enter each workshop. The worksheets will be emailed to you upon receiving your reservation email. ***You must complete all necessary worksheets to get DLL Workshop Zoom links***
DLL Workshops
Presenting Professionally with PowerPoint
March 10, 2023
1pm-2pm
Presentations can be daunting, challenging, and sometimes disappointing. For the hardworking academic or professional, all the good research and work can come undone if the delivery is not just right. In this workshop, we will review some practices that will help ensure that the content, timing, and delivery of the presentation meet expectations.
Dissertation Formatting in Microsoft Word
March 21, 2023
11am – 12pm
Microsoft Word includes features that can assist you in producing professional-quality documents. Microsoft Word can also help you better organize and write papers. This workshop will focus on the use of Microsoft Word to format your dissertation. You will learn how to add various types of page numbers, create an automatic table of contents, create an automatic list of tables, and create an automatic list of figures.
Strangle the Code – Python Seminar
March 24, 2023
11am – 12pm
Learn Intermediate plotting and beginner data analysis in Python. This is the intermediate session, so participants are expected to have gone to the beginner session or have personal experience in Python.
Polishing Your Data: A Practical Workshop with R
March 29, 2023
11am – 12pm
In this workshop, you will learn how to clean and prepare our data for analysis using R. This includes checking and handling data ranges, missing values, duplicates, misspellings, outliers, null values, and data types. We will also introduce useful functions and libraries. Additionally, you will gain hands-on experience by practicing data cleaning together on a raw dataset during the workshop. An intermediate session for people with basic knowledge of using R and R studio.
Reserve your spot now and email us digital.learning@cgu.edu.