Events

The Lundquist College of Business is an active and vibrant community.

Our programs, departments, centers, clubs, and units host many events throughout the year that welcome guest speakers, support career development, provide networking opportunities, showcase employers, and provide information about applying to our degree programs.

You can view upcoming events from across the college below and explore more on the UO Event Calendar. Students, faculty, and staff with a uoregon.edu email address are also encourage to sign into the UO calendar to submit events to our calendar by tagging them "Lundquist College of Business" in the department field.


Upcoming Events

Jun 19
UO Sports Product Management Information Session 4:00 p.m.

Turn your passion into your profession with a master’s degree in Sports Product Management. Our program is grounded in innovation and sustainability with a global...
UO Sports Product Management Information Session
June 19
4:00–5:00 p.m.

Turn your passion into your profession with a master’s degree in Sports Product Management.

Our program is grounded in innovation and sustainability with a global business perspective. Now available in two formats: an immersive 18-month onsite format in Portland and a 21-month innovative online format.

You’ll network and learn hands-on the business of creating sports and outdoor footwear, apparel, and equipment from experienced industry leaders. Join us for an information session where we'll share an overview of the Portland and Online programs. You'll also hear from a current student in the Portland program.

Topics include:

How the Portland and Online programs are structured The admissions process Experiential Trips & Residencies Post-graduation careers And more
Jun 20
UO Sports Product Management: Duck Chat noon

Join us every Thursday throughout the summer for an "office hour" session where you can ask all your burning questions about the Sports Product Management Program at the...
UO Sports Product Management: Duck Chat
June 20
noon
This is a virtual event.

Join us every Thursday throughout the summer for an "office hour" session where you can ask all your burning questions about the Sports Product Management Program at the University of Oregon.⁠

Whether you're interested in our in-person program in Portland, Oregon, or our online program accessible from anywhere in the world, we've got you covered! Our program is the first of its kind, offering a Master of Science in Sports Product Management. With strong ties to the sports and outdoor product industry, our alumni boast an impressive 96% employment rate within the field.⁠

Hosted by our Assistant Directors of Recruitment, Andrew Mirjah and Daisy Sandoval. This session is designed to provide insights into our programs and assist you with the admissions and recruitment process.⁠

Jun 21
Oregon Executive MBA Preview Day 11:00 a.m.

As part of the Oregon Executive MBA program's preview day, Scott Schnuck a current industry instructor and an attorney at AtlusLaw LLC, will be teaching a mini-lecture on...
Oregon Executive MBA Preview Day
June 21
11:00 a.m.–1:00 p.m.
109 NW Naito

As part of the Oregon Executive MBA program's preview day, Scott Schnuck a current industry instructor and an attorney at AtlusLaw LLC, will be teaching a mini-lecture on business law. This is an opportunity you don't want to miss, as Scott has a wealth of knowledge and experience to share.

In addition to the mini-lecture, we will also be providing a catered lunch for all attendees. This will be a chance to network with incoming students and staff as well as ask any questions you may have about the program. REGISTERhttps://uobiz.co/oemba-preview-day-062124

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 26
Oregon MBA Information Session 8:30 a.m.

Join our admissions team to discover what makes the Oregon MBA unique. We will discuss the different ways you can earn your MBA, degree specializations, the college's four...
Oregon MBA Information Session
June 26
8:30–9:15 a.m.

Join our admissions team to discover what makes the Oregon MBA unique. We will discuss the different ways you can earn your MBA, degree specializations, the college's four centers of excellence, hands-on learning opportunities, and application tips!

Jun 27
Lundquist College at The MBA + Master's Tour Africa and Middle East 9:00 a.m.

Join the admissions team from the University of Oregon's Lundquist College of Business during The MBA + Master's Tour Africa and Middle East on Thursday, June 27! This...
Lundquist College at The MBA + Master's Tour Africa and Middle East
June 27
9:00–11:30 a.m.
This is a virtual event.

Join the admissions team from the University of Oregon's Lundquist College of Business during The MBA + Master's Tour Africa and Middle East on Thursday, June 27! This free, virtual event is a great way to network with our staff, get your questions answered, and learn about our programs and community. Whether you are just beginning your research or preparing your application, we would love to connect with you.

The MBA + Master's Tour is a series of events that travel around the world to bring the top business schools to you. They provide various ways for you to engage with attending schools through prescehduled meetings, presentations, resume and CV clinics, and an open networking fair.

View details and register online today.

Please note: This event takes place Thursday, June 27 from 6:00–8:30 p.m. in the GMT +2 time zone (9:00 a.m.–11:30 p.m. U.S. PDT, UTC-7). Please plan for your own time zone accordingly.

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)
Jun 27
UO Sports Product Management: Duck Chat noon

Join us every Thursday throughout the summer for an "office hour" session where you can ask all your burning questions about the Sports Product Management Program at the...
UO Sports Product Management: Duck Chat
June 27
noon
This is a virtual event.

Join us every Thursday throughout the summer for an "office hour" session where you can ask all your burning questions about the Sports Product Management Program at the University of Oregon.⁠

Whether you're interested in our in-person program in Portland, Oregon, or our online program accessible from anywhere in the world, we've got you covered! Our program is the first of its kind, offering a Master of Science in Sports Product Management. With strong ties to the sports and outdoor product industry, our alumni boast an impressive 96% employment rate within the field.⁠

Hosted by our Assistant Directors of Recruitment, Andrew Mirjah and Daisy Sandoval. This session is designed to provide insights into our programs and assist you with the admissions and recruitment process.⁠

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
Jul 9
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
Jul 10
Oregon Executive MBA Virtual Information Session noon

Join us for a virtual information session to learn more about the Oregon Executive MBA program. We will provide an overview and highlights of the program and briefly touch on...
Oregon Executive MBA Virtual Information Session
July 10
noon
This is a virtual event.

Join us for a virtual information session to learn more about the Oregon Executive MBA program. We will provide an overview and highlights of the program and briefly touch on admissions information.

Jul 11
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 11
UO Sports Product Management: Duck Chat noon

Join us every Thursday throughout the summer for an "office hour" session where you can ask all your burning questions about the Sports Product Management Program at the...
UO Sports Product Management: Duck Chat
July 11
noon
This is a virtual event.

Join us every Thursday throughout the summer for an "office hour" session where you can ask all your burning questions about the Sports Product Management Program at the University of Oregon.⁠

Whether you're interested in our in-person program in Portland, Oregon, or our online program accessible from anywhere in the world, we've got you covered! Our program is the first of its kind, offering a Master of Science in Sports Product Management. With strong ties to the sports and outdoor product industry, our alumni boast an impressive 96% employment rate within the field.⁠

Hosted by our Assistant Directors of Recruitment, Andrew Mirjah and Daisy Sandoval. This session is designed to provide insights into our programs and assist you with the admissions and recruitment process.⁠

Jul 16
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
Jul 18
Oregon MBA Information Session 8:30 a.m.

Join our Oregon MBA admissions team to learn what it is that makes the Oregon MBA program unique. We will discuss the different ways you can earn your MBA, degree specializations,...
Oregon MBA Information Session
July 18
8:30–9:00 a.m.

Join our Oregon MBA admissions team to learn what it is that makes the Oregon MBA program unique. We will discuss the different ways you can earn your MBA, degree specializations, the college's four centers of excellence, hands-on learning opportunities, and application tips.

Jul 18
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 18
UO Sports Product Management: Duck Chat noon

Join us every Thursday throughout the summer for an "office hour" session where you can ask all your burning questions about the Sports Product Management Program at the...
UO Sports Product Management: Duck Chat
July 18
noon
This is a virtual event.

Join us every Thursday throughout the summer for an "office hour" session where you can ask all your burning questions about the Sports Product Management Program at the University of Oregon.⁠

Whether you're interested in our in-person program in Portland, Oregon, or our online program accessible from anywhere in the world, we've got you covered! Our program is the first of its kind, offering a Master of Science in Sports Product Management. With strong ties to the sports and outdoor product industry, our alumni boast an impressive 96% employment rate within the field.⁠

Hosted by our Assistant Directors of Recruitment, Andrew Mirjah and Daisy Sandoval. This session is designed to provide insights into our programs and assist you with the admissions and recruitment process.⁠

Jul 23
Connley Caves Field School Excursion 7:00 a.m.

Back by popular demand - summer excursions! Located within the homelands of the Klamath, Modoc, and Northern Paiute peoples, ongoing research at the Connley Caves is changing...
Connley Caves Field School Excursion
July 23
7:00 a.m.–7:00 p.m.
Museum of Natural and Cultural History

Back by popular demand - summer excursions!

Located within the homelands of the Klamath, Modoc, and Northern Paiute peoples, ongoing research at the Connley Caves is changing our understanding of technology, foodways, and environment going back to the Ice Age. Join us to learn more about the museum's research in the Great Basin. 

The cost is $90 per person, and $75 for MNCH members. Space is limited and preregistration is required. Transportation from the museum and back, admission to museum, snacks, and water will be provided. BYO lunch.

Jul 23
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
Jul 24
Oregon Executive MBA Virtual Information Session noon

Join us for a virtual information session to learn about the Oregon Executive MBA program. We will provide an overview and highlights of the program and briefly touch on...
Oregon Executive MBA Virtual Information Session
July 24
noon

Join us for a virtual information session to learn about the Oregon Executive MBA program. We will provide an overview and highlights of the program and briefly touch on admissions information.

Jul 25
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 25
UO Sports Product Management: Duck Chat noon

Join us every Thursday throughout the summer for an "office hour" session where you can ask all your burning questions about the Sports Product Management Program at the...
UO Sports Product Management: Duck Chat
July 25
noon
This is a virtual event.

Join us every Thursday throughout the summer for an "office hour" session where you can ask all your burning questions about the Sports Product Management Program at the University of Oregon.⁠

Whether you're interested in our in-person program in Portland, Oregon, or our online program accessible from anywhere in the world, we've got you covered! Our program is the first of its kind, offering a Master of Science in Sports Product Management. With strong ties to the sports and outdoor product industry, our alumni boast an impressive 96% employment rate within the field.⁠

Hosted by our Assistant Directors of Recruitment, Andrew Mirjah and Daisy Sandoval. This session is designed to provide insights into our programs and assist you with the admissions and recruitment process.⁠

Jul 30
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
Aug 1
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)
Aug 6
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
Aug 6
Oregon MBA Information Session 4:00 p.m.

Join our Oregon MBA admissions team to learn what it is that makes the Oregon MBA program unique. We will discuss the different ways you can earn your MBA, degree specializations,...
Oregon MBA Information Session
August 6
4:00–4:30 p.m.

Join our Oregon MBA admissions team to learn what it is that makes the Oregon MBA program unique. We will discuss the different ways you can earn your MBA, degree specializations, the college's four centers of excellence, hands-on learning opportunities, and application tips.

Aug 8
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)
Aug 13
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
Aug 15
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)
Aug 20
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