Highlight your skills to potential employers.
Professional Edge is an industry-informed collection of programs designed to help students develop cutting-edge skills essential in the modern job market.
Professional Edge programs are interactive and hands-on and range from foundational soft skills to specialized technical abilities that are sought after in industry-specific contexts.
No matter the topic, we hope to empower students with tangible tools they can leverage to distinguish themselves from other job applicants and carry with them into their future career.
Earn Microcredentials
Your degree communicates what you know, but the truth is today's employers care most about what you can do. Microcredentials are designed to complement traditional degrees with tangible proof of skills that are sought after in the workplace and allow students to tailor their learning to their career goals and stand out in a sea of graduates.
Professional Edge offerings that are listed as "microcredential-eligible" allow students the opportunity to complete an assessment or project at the end of the program to earn a validate microcredential through our digital badging system, Canvas Credentials. This makes it easy for you to proudly display your microcredentials on your LinkedIn profile or showcase on your resume.
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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 allowsnoon
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)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
Want to Learn a Specific Skill?
We're always looking to expand our current program offerings. If you are a current UO student, email us at professionaledge@uoregon.edu or submit the form below to let us know what subjects you'd like to see us explore in the future!
Partner with Us
Are you an employer or alum looking to get involved? Professional Edge offers a range of participation options to support our students' learning, engage with emerging talent for your company, and fit your schedule and preferences. Our program received the Best University Employer Partnership award (sponsored by EY) at the 2024 Global Career Services Summit. Contact us at professionaledge@uoregon.edu to learn more about how you can get involved.
Contact
Professional Edge
Lundquist College of Business
1208 University of Oregon
Eugene, OR 97403-1208
541-346-3303
professionaledge@uoregon.edu
