Mar
25
MinneMUDAC 2023: Student Data Science Challenge
Target Field, 1 Twins Way Minneapolis, MN 55403
COMMUNITY EVENT
Close
MinneMUDAC 2023: Student Data Science Challenge
–
Inviting teams of graduate and undergraduate students to explore real-world data while enhancing and showcasing their skills
This experiential learning opportunity invites teams of graduate and undergraduate students to explore real-world data while enhancing and showcasing their skills. Join us for this unique collaboration between students, their academic advisors, and analytics professionals from the community.
The Challenge
Student teams have several weeks to analyze data before presenting their findings to judges from the analytics community at the main event on March 25. Teams with the highest scores move on to the finals round. Cash prizes are awarded to top teams in each division.
The Data
Stay tuned - this year's challenge and data will be announced in mid-February.
Presenting Your Findings
Student teams will present their findings on Saturday, March 25. During the first round (9 am-noon), teams have five minutes to present their model to a series of judging teams. Judges will also have the opportunity to ask questions of each team. Student teams should expect to pitch 4-6 times with each interaction lasting 7-12 minutes. After breaking for lunch, the finalists will present to all the judges.
Want to participate? Put together your team following the guidelines below! We recommend the faculty or staff advisor register for the entire team if possible.
Guidelines
Who is invited?
Students: Undergraduate and graduate students welcome. Please note that you must enter the team name and name/email of a faculty or staff advisor to register. See team guidelines below.
Faculty/Staff Advisors: Each team requires a faculty or staff advisor to provide guidance throughout the challenge. One advisor may advise up to three student teams. Advisors assisting more than one team must register for each team.
Judges/Mentors: Share your experience with the next generation of analytics professionals. Industry professionals who would like to judge and provide mentorship may register by selecting the “Judge/Mentor” ticket option. For more information, see the "Judges/Mentors" section below.
Team Guidelines
Each team requires a faculty or staff advisor to register as well as provide support throughout the competition.
Teams are limited to five students and one faculty or staff advisor.
Colleges and universities outside of Minnesota are encouraged to participate.
MinneAnalytics is able to provide Friday night accommodations for teams traveling two hours or more; however the number of rooms available is limited. The team faculty advisor must request accommodations during initial registration.
More than one team from the same college or university may participate. Individual students may only join one team. There is a limit to three teams from the same college department.
Blended teams of students with different majors and skill-sets are encouraged.
Competition Divisions
Open Division: For accomplished career professionals that are adding a second advanced degree or enhancing their skill set, or elite teams that want to compete against the best. Note: No cash prizes are awarded to teams participating in the Open Division.
Graduate Division: For teams with advanced data management, data programming, and statistical/analytic skills to support predictive modeling, including at least one graduate student. Any team with one or more Graduate students will automatically be in the Graduate division.
Undergraduate Division: For undergraduate teams with advanced data management, data programming, and statistical/analytic skills to support predictive modeling.
Novice Division: For students early in their studies who have limited experience and have novice to intermediate data management, data programming and statistical/analytic skills. Any team with Freshmen and Sophomores will be in the Novice division. Any team whose school's data science program is less than two years old will be in the Novice division.
Division level is chosen by the team’s faculty or staff advisor during registration.
The Awards
Analytic Acumen: Awarded to the team in each division with the most technically appropriate and accomplished team presentation.
Serendipitous Discovery: Awarded to the team in each division providing the most interesting, if unrelated, findings or insights.
Overall Prediction: Awarded to the teams in each division (excluding Novice Division) with the most accurate prediction.
Judges/Mentors
Participation from professionals from the analytics community is key to the success of the MinneMUDAC competition. Judges/Mentors are grouped into small teams of 3 or 4 (ideally with at business professional, a technologist, and an academic to create a blended mentoring teams). If you are a business professional that's been pitched a presentation before, a technologist that understands computer science and/or math/stats, or an academic that regularly engages students, then you are qualified to be on a judging team.
Presented by MinneAnalytics and Midwest Undergraduate Data Analytics Competition (MUDAC). For more information, visit the event website: minneanalytics.org/minnemudac2023/
PLEASE NOTE: MinneAnalytics requires a Driver's license or government-issued photo ID for entrance at all events.
This experiential learning opportunity invites teams of graduate and undergraduate students to explore real-world data while enhancing and showcasing their skills. Join us for this unique collaboration between students, their academic advisors, and analytics professionals from the community.
The Challenge
Student teams have several weeks to analyze data before presenting their findings to judges from the analytics community at the main event on March 25. Teams with the highest scores move on to the finals round. Cash prizes are awarded to top teams in each division.
The Data
Stay tuned - this year's challenge and data will be announced in mid-February.
Presenting Your Findings
Student teams will present their findings on Saturday, March 25. During the first round (9 am-noon), teams have five minutes to present their model to a series of judging teams. Judges will also have the opportunity to ask questions of each team. Student teams should expect to pitch 4-6 times with each interaction lasting 7-12 minutes. After breaking for lunch, the finalists will present to all the judges.
Want to participate? Put together your team following the guidelines below! We recommend the faculty or staff advisor register for the entire team if possible.
Guidelines
Who is invited?
Students: Undergraduate and graduate students welcome. Please note that you must enter the team name and name/email of a faculty or staff advisor to register. See team guidelines below.
Faculty/Staff Advisors: Each team requires a faculty or staff advisor to provide guidance throughout the challenge. One advisor may advise up to three student teams. Advisors assisting more than one team must register for each team.
Judges/Mentors: Share your experience with the next generation of analytics professionals. Industry professionals who would like to judge and provide mentorship may register by selecting the “Judge/Mentor” ticket option. For more information, see the "Judges/Mentors" section below.
Team Guidelines
Each team requires a faculty or staff advisor to register as well as provide support throughout the competition.
Teams are limited to five students and one faculty or staff advisor.
Colleges and universities outside of Minnesota are encouraged to participate.
MinneAnalytics is able to provide Friday night accommodations for teams traveling two hours or more; however the number of rooms available is limited. The team faculty advisor must request accommodations during initial registration.
More than one team from the same college or university may participate. Individual students may only join one team. There is a limit to three teams from the same college department.
Blended teams of students with different majors and skill-sets are encouraged.
Competition Divisions
Open Division: For accomplished career professionals that are adding a second advanced degree or enhancing their skill set, or elite teams that want to compete against the best. Note: No cash prizes are awarded to teams participating in the Open Division.
Graduate Division: For teams with advanced data management, data programming, and statistical/analytic skills to support predictive modeling, including at least one graduate student. Any team with one or more Graduate students will automatically be in the Graduate division.
Undergraduate Division: For undergraduate teams with advanced data management, data programming, and statistical/analytic skills to support predictive modeling.
Novice Division: For students early in their studies who have limited experience and have novice to intermediate data management, data programming and statistical/analytic skills. Any team with Freshmen and Sophomores will be in the Novice division. Any team whose school's data science program is less than two years old will be in the Novice division.
Division level is chosen by the team’s faculty or staff advisor during registration.
The Awards
Analytic Acumen: Awarded to the team in each division with the most technically appropriate and accomplished team presentation.
Serendipitous Discovery: Awarded to the team in each division providing the most interesting, if unrelated, findings or insights.
Overall Prediction: Awarded to the teams in each division (excluding Novice Division) with the most accurate prediction.
Judges/Mentors
Participation from professionals from the analytics community is key to the success of the MinneMUDAC competition. Judges/Mentors are grouped into small teams of 3 or 4 (ideally with at business professional, a technologist, and an academic to create a blended mentoring teams). If you are a business professional that's been pitched a presentation before, a technologist that understands computer science and/or math/stats, or an academic that regularly engages students, then you are qualified to be on a judging team.
Presented by MinneAnalytics and Midwest Undergraduate Data Analytics Competition (MUDAC). For more information, visit the event website: minneanalytics.org/minnemudac2023/
PLEASE NOTE: MinneAnalytics requires a Driver's license or government-issued photo ID for entrance at all events.
Mar
29
1 Million Cups Mankato
Hubbard Building - Small Business Development Center
COMMUNITY EVENT
Close
1 Million Cups Mankato
–
1 Million Cups is an event that brings together entrepreneurs and the greater Mankato area community over coffee and conversations to support new ventures. We will be returning in person beginning in April. Join us at the Hubbard Building at 424 N Riverfront Drive, Suite 210, Mankato, MN 56001.
There will not be a zoom option for participants, but those who cannot make the event can view the event on Facebook live.
Mar
29
1 Million Cups MSP
Online Event
COMMUNITY EVENT
Close
1 Million Cups MSP
–
A weekly event that brings entrepreneurs and the Twin Cities community together over coffee and conversations.
Join us for virtual 1 Million Cups via Zoom! https://kauffman.zoom.us/j/92655072263
Mar
29
1 Million Cups Eden Prairie
Eden Prairie City Center (City Hall) in the Garden Room
COMMUNITY EVENT
Close
1 Million Cups Eden Prairie
–
We are back to meeting IN PERSON! We are meeting at the Eden Prairie City Center (City Hall) in the Garden Room. Park at the SW corner of City Hall, (8080 Mitchell Road, EP, 55344), near the exterior door labeled "Garden Room". Enter The Garden Room through that exterior door.
Online is still available to! https://kauffman.zoom.us/j/97235827386 (Note: you need to copy and paste zoom link into a browser)
1MILLION CUPS EDEN PRAIRIE meets EVERY WEDNESDAY AT 9AM CT! Questions? email: edenprairie@1millioncups.com
1 Million Cups Eden Prairie is a volunteer-based organization supporting entrepreneurs in the Southwest suburbs of the Twin Cities. We’re one of 146 chapters of 1 Million Cups here to help entrepreneurs learn from each other and thrive. Join us for a meeting or apply to present at https://www.1millioncups.com/present.
Mar
29
Webinar Wednesdays Live Demo and Q+A Session with Silicon Prairie!
Virtual
COMMUNITY EVENT
Close
Webinar Wednesdays Live Demo and Q+A Session with Silicon Prairie!
–
Thinking about raising capital but not sure where to start?
Join us on Wednesdays Noon EST / 11 AM Central / 10 AM Mountain / 9 AM Pacific for a 30 minute Webinar!
Join Zoom Meeting
https://us02web.zoom.us/j/87690115593?pwd=JwiW93eiLOi0BMDTYc064IKfbunU-d.1
Mar
29
JavaScriptMN Monthly Event
Virtual
COMMUNITY EVENT
Close
JavaScriptMN Monthly Event
–
Like our past show and tell events, we're going to keep it casual and low-key. Share what you've been working on with a show-and-tell! We start our events with breakout rooms so people have a more comfortable opportunity to introduce and get to know each other.
If you have a project that's difficult to present, try preparing it on CodePen or CodeSandbox so we can more easily get it up and running and see the source. Please reach out to JavaScriptMN on Twitter, our Slack team, or our Meetup page to let us know if you have something to share. Otherwise, join us and share on the spot!
We will email the Zoom link (and share in slack) on the day-of. Please let us know if you have any questions, or would like to show something off!
Ongoing agenda:
6:00 - Zoom link opens, Announcements
6:15-6:30 - Breakout rooms with small groups to introduce and get to know each other.
6:30 - 8: Lightning talks, demos, conversations.
It's always a great event, hope to see you there!
Mar
29
Marketing – Web Development – Analytics Weekly Meetup
Spyhouse Coffee, 945 Broadway St NE, Minneapolis, MN
COMMUNITY EVENT
Close
Marketing – Web Development – Analytics Weekly Meetup
–
This event is for anyone interested in web development, data analytics, or digital marketing. Come grab a hot beverage, be productive, collaborate, and network.
Mar
31
Twin Cities Drupal – Co-Working Friday
Virtual
COMMUNITY EVENT
Close
Twin Cities Drupal – Co-Working Friday
–
What is a co-working day?
An environment where you are working near other people so that when you have questions, the friction between asking and getting an answer is reduced and to see real people during a day.
Guidelines
- Try to keep the room quiet enough for people to keep working.
- If have a quick question ask the room, but you might need to take the question / answer conversation to slack or a break out room in Zoom.
- Free free to leave for meetings / mute all the things. It’s a casual gathering of peoples.
Mar
31
Silicon Prairie / Investment Crowdfunding / Ask Me Anything!
Virtual
COMMUNITY EVENT
Close
Silicon Prairie / Investment Crowdfunding / Ask Me Anything!
–
Silicon Prairie Friday Open Office Hours are now LIVE on ZOOM!
Held EVERY FRIDAY morning from 9:30 to 11:30 AM (central)
RSVP to see the Zoom Meeting Details
Can't make it? Watch a recent presentation here:
https://vimeo.com/506243666
Agenda:
The first hour is “ask us anything” topics usually include: Small Business, Tech Startups, Financial Securities, Software Security, Blockchain, or Investment Crowdfunding. Even if you don’t ever become a customer of ours – we want to be a resource for you!
The second hour is an Investment Crowdfunding 101 we have a PowerPoint presentation that covers how to raise money for small businesses using Investment Crowdfunding. We cover fundraising options, the Investment Crowdfunding laws/ regulations, the process, dollar amounts, timelines, costs, pitfalls, and best practices.
We’ve been hosting Open Office Hours in-person for YEARS now, and now we’re delighted to share our experience and knowledge with our broader community. Friday at 9:30 is your chance to catch up with us and/or pick our brains, ask gritty questions, or just share what’s new with you!
As always, feel free to connect with us on Linkedin as well! Hope to catch-up soon!