Professional Edge

Strengthen your qualifications to excel in your career.

Professional Edge is an industry-informed collection of short courses designed to help students develop cutting-edge skills essential in the modern job market.

Build targeted, practical skills in an interactive and engaging format and distinguish yourself in a field of other job applicants. As a participant, you'll receive guidance from instructors informed by the latest business trends and leave with tangible tools and stories you can leverage in your career search.

Whether it’s a basic course in Microsoft Teams or a more advanced course in competitive intelligence or Google Analytics, these University of Oregon-backed credentials can be used to highlight your mastery of highly sought-after skills to potential employers.

As you plan your schedule, take advantage of these largely free one- to two-hour sessions conveniently offered throughout the year.

Jun 25
Learning Stats with R noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for...
Learning Stats with R
June 25–September 10
noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for beginners and insightful for seasoned learners. Perfect for anyone looking to enhance their statistical skills and data analysis expertise!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. A free online version of the book can be found here. The book club will meet every Tuesday from noon to 1:30 in room B020 in Price Science Commons, from June 25 to September 10. Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 25: Background (Ch. 1 & 2: Why learn stats? & research design) July 2: An Introduction to R (Ch. 3 & 4: Getting started & R concepts) July 9: Working with Data (Ch. 5 & 6: Descriptive stats & drawing graphs) July 16: Working with Data (Ch. 7 & 8: working with data & basic programming) July 23: Introduction to Probability (Ch. 9) July 30: Estimating unknown quantities (Ch. 10) August 6: Hypothesis testing (Ch. 11) August 13: Categorical Data Analysis (Ch. 12) August 20: Comparing two means (Ch. 13: z-test and t-test) August 27: Comparing Several Means (Ch. 14: once-way ANOVA) September 3: Linear Regression (Ch. 15) September 10: Factorial ANOVA (Ch. 16), Bayesian stats as time allows
Jun 27
R for Data Science noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation,...
R for Data Science
June 27–September 12
noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation, visualization, and modeling using R. You can find a free online version of the book here. Perfect for beginners and experienced users alike, it will transform the way you handle data!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. The book club will meet every Thursday from noon to 1:30 p.m. in room B020 in Price Science Commons, from June 27 to September 12 (except July 4!). Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 27 & July 11: Whole Game (workflows, data importing, tidying & transformation, getting help) July 18 & 25: Visualize (layers, exploratory data analysis, communication) August 1 & 8: Transform (vectors, numbers, strings, expressions, factors, dates, missing values, joins) August 15 & 22: Import (spreadsheets, databases, arrow, web scraping, hierarchical data) August 29 & September 5: Program (functions, iteration, base R) September 12: Communicate (Quarto)
Jul 2
Learning Stats with R noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for...
Learning Stats with R
June 25–September 10
noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for beginners and insightful for seasoned learners. Perfect for anyone looking to enhance their statistical skills and data analysis expertise!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. A free online version of the book can be found here. The book club will meet every Tuesday from noon to 1:30 in room B020 in Price Science Commons, from June 25 to September 10. Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 25: Background (Ch. 1 & 2: Why learn stats? & research design) July 2: An Introduction to R (Ch. 3 & 4: Getting started & R concepts) July 9: Working with Data (Ch. 5 & 6: Descriptive stats & drawing graphs) July 16: Working with Data (Ch. 7 & 8: working with data & basic programming) July 23: Introduction to Probability (Ch. 9) July 30: Estimating unknown quantities (Ch. 10) August 6: Hypothesis testing (Ch. 11) August 13: Categorical Data Analysis (Ch. 12) August 20: Comparing two means (Ch. 13: z-test and t-test) August 27: Comparing Several Means (Ch. 14: once-way ANOVA) September 3: Linear Regression (Ch. 15) September 10: Factorial ANOVA (Ch. 16), Bayesian stats as time allows

View All Upcoming Events


Industry-Informed Skills
Explore a variety of interactive short courses.
Dynamic Instructors 
Learn from experienced industry practitioners.
Time Efficient 
Build cutting-edge skills in a short timeframe.
Employability 
Excel in your career search with advanced business skills.

What do you want to learn?

We're always looking to expand our current offering of workshops. Email us at professionaledge@uoregon.edu to let us know what subjects you'd like to see us explore in the future.

Previous workshops have explored such topics as:

  • Design thinking
  • Google Analytics
  • Investment plan design and presentation
  • Storytelling for business presentations
  • Tableau

Are you an employer or alumnus looking to get involved?

There are a number of different ways to make meaningful connections within the Professional Edge program. Contact us to learn more.

  • Teach a short course.
  • Sponsor a new series of skill-building short courses.
  • Hire students with demonstrated skill mastery.

Contact

Professional Edge
Lundquist College of Business
1208 University of Oregon
Eugene, OR 97403-1208
541-346-3303 
professionaledge@uoregon.edu

Program Facilitators

Trish Dorman, Senior Associate Director, Student Engagement and Programming