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
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 allows8:30–9:00 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.
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)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 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.
7:00 a.m.–7:00 p.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 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.
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 allowsnoon
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.
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)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 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.
5:05 p.m.
Join the Lane County Ducks at PK Park for UO Alumni Night with the Eugene Emeralds! The Lane County Ducks alumni chapter and the Emeralds are teaming up to raise scholarship funds for current and future students from Lane County attending the University of Oregon. The Ems will donate $6 of every ticket sale through our special link to the Lane County Ducks Academic Scholarship Fund! Bring your family, friends, fellow Ducks—anyone who’s interested in kicking back and having a fun night out cheering on the Ems at the ballpark. There will be fellow Ducks, a fun atmosphere, and of course, baseball!
An added bonus this year, our fundraiser falls on Harry Potter Night at the ballpark, which includes an exclusive giveaway item: a Hogwarts-themed House Cap to the first 1,000 fans through the gates.
The Lane County Ducks will have an information table on the concourse for anyone interested in learning more about the chapter. (Or for anyone who just wants to stop by and say hello!)
Tickets
$12 per ticket through our special ticket link by noon, Saturday, July 27.
$6 of every ticket sale is donated to the Lane County Ducks Scholarship Fund which supports students from Lane County attending the University of Oregon.
6:45 a.m.
Prepare for a night of Ducks pride as we host our inaugural University of Oregon Night at the San Francisco Giants. Join UO students, alumni, faculty, and fans by bringing the energy of Autzen Stadium to Oracle Park. A portion of the proceeds from each special event ticket will benefit scholarships for students from northern California studying at the University of Oregon. Go Ducks!
Tickets: $34. Buy your tickets by Sunday, June 30.
Ticket purchases include:
Game Ticket: San Francisco Giants vs. Oakland A’s surrounded by fellow Ducks! Event Item: Giants/University of Oregon Co-Branded Beanienoon
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 allows4:00–6:00 p.m.
Sports Product Management alumni, industry friends, and the wider University of Oregon community are invited to connect with program cofounder and executive director Ellen Schmidt-Devlin at the 2024 Paris Olympics.
Please contact Krystina Jensen with any questions. This event is free to attend and open to the SPM community.
We look forward to connecting and celebrating the University of Oregon community and partners during this event!
Please note: This event takes place Wednesday, July 31 from 4:00–6:30 p.m. in the CEST (central European summer time) time zone, UTC+2 (7:00 a.m.–9:00 a.m. U.S. PDT, UTC-7). Please plan accordingly.
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)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 allows4:00–4:30 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.
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)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 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 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 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 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 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)9:00 a.m.–3:30 p.m.
Join the Sports Product Management Class of 2025 as they share their summer internships and industry experiences.
This event is free and open to the SPM community, industry partners, and prospective students. Both in person and Zoom viewing options will be available. More details to come later this summer.
8:00–11:00 a.m.
If you are considering a faculty, researcher, lecturer, postdoc, or similar academic position, then consider attending the virtual BIG10+ Academia Career Fair!
All BIG10 Masters/PhD/Postdocs are welcome to come explore future career opportunities (group sessions are great for this), as well as those currently searching for a full-time career now (individual sessions are great for you). The career fair is FREE. Details and registration coming soon.
5:30–8:00 p.m.
Mohr Career Services and Cameron Center for Finance and Securities Analysis invites you to join one of our most popular events of the year. BizCareers in Finance, Banking, and Real Estate features companies and opportunities in Corporate Finance, Banking, Investments, Portfolio, and Wealth Management. BizCareers in Finance, Banking, and Real Estate is a panel discussion followed by networking event to meet company representatives for career exploration. Students attend the ALUMNI PANEL discussion at 5:30pm in Lillis 282 to learn about career paths and what skills and experience you can gain now to be a competitive applicant. Companies and students attend the NETWORKING MIXER at 6:30pm-8pm in Lillis Atrium immediately after the panel discussion for some refreshments and the opportunity to expand your network of employer connections and learn about immediate opportunities for internships and full-time jobs. Also, Lillis 155, right off of the Atrium, will be available for you who would like a quiet space to take a break, reflect or have a conversation with an attendee. Come to the check-in desk and let us know!
Alumni Panel Speakers: (To be announced soon!)