diff --git a/404.html b/404.html index 1769985..400691b 100644 --- a/404.html +++ b/404.html @@ -1 +1 @@ -404: This page could not be found

404

This page could not be found.

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404

This page could not be found.

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Calendar

Add to Google Calendar
\ No newline at end of file +Michigan Data Science Team - Calendar

Calendar

Add to Google Calendar
\ No newline at end of file diff --git a/contact.html b/contact.html index ac5d496..c32c303 100644 --- a/contact.html +++ b/contact.html @@ -1 +1 @@ -Michigan Data Science Team - Contact Us

Contact Us

Email:

mdst-coms@umich.edu

Instagram:

mdst_um

LinkedIn:

michigan-data-science-team

Students

Have questions about joining MDST? Curious about our projects? Or just want to keep up with our socials? Send us an email, check out our Instagram, and connect with us on LinkedIn!

U-M Departments

MDST would be delighted to collaborate with your department to promote your data science efforts to our students. Please contact us if you are interested in hosting a talk or sponsoring our club.

Industry Partners

Partner with MDST to find top data science talent and power your company's mission. We offer engagement and sponsorship opportunities to fit your needs. Please email us at mdst-coms@umich.edu to learn more.

\ No newline at end of file +Michigan Data Science Team - Contact Us

Contact Us

Email:

mdst-coms@umich.edu

Instagram:

mdst_um

LinkedIn:

michigan-data-science-team

Students

Have questions about joining MDST? Curious about our projects? Or just want to keep up with our socials? Send us an email, check out our Instagram, and connect with us on LinkedIn!

U-M Departments

MDST would be delighted to collaborate with your department to promote your data science efforts to our students. Please contact us if you are interested in hosting a talk or sponsoring our club.

Industry Partners

Partner with MDST to find top data science talent and power your company's mission. We offer engagement and sponsorship opportunities to fit your needs. Please email us at mdst-coms@umich.edu to learn more.

\ No newline at end of file diff --git a/images/team/skunich.jpeg b/images/team/skunich.jpeg index bfe318f..7c1200b 100644 Binary files a/images/team/skunich.jpeg and b/images/team/skunich.jpeg differ diff --git a/index.html b/index.html index 4f27884..9ef5777 100644 --- a/index.html +++ b/index.html @@ -1 +1 @@ -MDST - Michigan Data Science Team

U-M's Premier Applied Data Science Club

MDST's semesterly projects teach U-M students how to use data science to solve problems, offering them the chance to learn key skills and work with emerging tech.

Join UsWork with Us
Dataframe of movie reviews and distribution

Recruiting Timeline Winter 2024

  1. Office Hours 1 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  2. Mass Meeting @ CCCB 0420

    Join us to learn more about MDST and how to become a member.

  3. Tutorial 1 @ Fishbowl Classroom

    Introduction to the command line and Python.

  4. Office Hours 2 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  5. Tutorial 2 @ Fishbowl Classroom

    Build basic data science knowledge for project participation.

  6. Office Hours 3 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Exploration Fair @ CCCB 2460

    Meet with project leads and get to know the project offerings for this semester.

  9. Project Signup Due

    Indicate your project preferences.

  10. Project Work Session @ CCCB 3420 and CCCB 2460

    Start working on data science projects!

Michigan Data Science Team (MDST) is the largest data science club at the University of Michigan, dedicated to equipping U-M students with the skills needed for future data-driven careers.
We believe data science is for everyone. Each semester, MDST runs team-based projects, allowing you to learn and practice data science skills and their applications in a variety of domains.
We also host guest talks, workshops, and socials - all opportunities to meet and interact with the larger data science community at the U-M and beyond.

All U-M students are welcome to join MDST. Join now 

200+

community members

14+

project teams

10+

socials, workshops, tech talks, and more

Recent Projects

Image Colorization

Webscraping

Footwear Classification

MDST is proudly supported by our sponsors

Rocket CompaniesWolverine Trading
\ No newline at end of file +MDST - Michigan Data Science Team

U-M's Premier Applied Data Science Club

MDST's semesterly projects teach U-M students how to use data science to solve problems, offering them the chance to learn key skills and work with emerging tech.

Join UsWork with Us
Dataframe of movie reviews and distribution

Recruiting Timeline Winter 2024

  1. Office Hours 1 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  2. Mass Meeting @ CCCB 0420

    Join us to learn more about MDST and how to become a member.

  3. Tutorial 1 @ Fishbowl Classroom

    Introduction to the command line and Python.

  4. Office Hours 2 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  5. Tutorial 2 @ Fishbowl Classroom

    Build basic data science knowledge for project participation.

  6. Office Hours 3 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Exploration Fair @ CCCB 2460

    Meet with project leads and get to know the project offerings for this semester.

  9. Project Signup Due

    Indicate your project preferences.

  10. Project Work Session @ CCCB 3420 and CCCB 2460

    Start working on data science projects!

Michigan Data Science Team (MDST) is the largest data science club at the University of Michigan, dedicated to equipping U-M students with the skills needed for future data-driven careers.
We believe data science is for everyone. Each semester, MDST runs team-based projects, allowing you to learn and practice data science skills and their applications in a variety of domains.
We also host guest talks, workshops, and socials - all opportunities to meet and interact with the larger data science community at the U-M and beyond.

All U-M students are welcome to join MDST. Join now 

200+

community members

14+

project teams

10+

socials, workshops, tech talks, and more

Recent Projects

Image Colorization

Webscraping

Footwear Classification

MDST is proudly supported by our sponsors

Rocket CompaniesWolverine Trading
\ No newline at end of file diff --git a/join.html b/join.html index af2dfa9..1cb55eb 100644 --- a/join.html +++ b/join.html @@ -1,5 +1,5 @@ -Michigan Data Science Team - Join Today

Joining MDST

Instructions

Thank you for your interest in joining MDST! We're super excited to get you started on the process for joining the club.

Step 1: Sign up for our mailing list

Our mailing list is going to be the fastest way for us to reach you with the latest information on how to join, mass meetings, and other onboarding events. Fill out the interest form linked below to be added to our mailing list.

Interest Form

Step 2 (Optional): Attend our Mass Meetings

MDST hosted one mass meeting on January 18th, 2024 from 6:00-7:00pm at CCCB 0420. At these meetings, we will discuss details about our club, what we do, and how to join. You'll also have the opportunity to ask questions you may have about joining.

Step 3: Complete Tutorial Checkpoints

New members are required to complete two tutorials giving an introduction to data science and programming in Python. The purpose of these tutorials is to make sure that all of our members, despite their background, are able to equally contribute to MDST projects.

The tutorials for Winter 2024 are now published in the tutorial GitHub repository. The repository contains all the materials and instructions you need to complete the tutorials, as well as information about the support we provide if you have any questions. +Michigan Data Science Team - Join Today

Joining MDST

Instructions

Thank you for your interest in joining MDST! We're super excited to get you started on the process for joining the club.

Step 1: Sign up for our mailing list

Our mailing list is going to be the fastest way for us to reach you with the latest information on how to join, mass meetings, and other onboarding events. Fill out the interest form linked below to be added to our mailing list.

Interest Form

Step 2 (Optional): Attend our Mass Meetings

MDST hosted one mass meeting on January 18th, 2024 from 6:00-7:00pm at CCCB 0420. At these meetings, we will discuss details about our club, what we do, and how to join. You'll also have the opportunity to ask questions you may have about joining.

Step 3: Complete Tutorial Checkpoints

New members are required to complete two tutorials giving an introduction to data science and programming in Python. The purpose of these tutorials is to make sure that all of our members, despite their background, are able to equally contribute to MDST projects.

The tutorials for Winter 2024 are now published in the tutorial GitHub repository. The repository contains all the materials and instructions you need to complete the tutorials, as well as information about the support we provide if you have any questions.
Note: Please direct all technical and logistical questions regarding tutorials to our forum for better visibility.

Step 4: Submit Tutorials

As a final step to join the club, you must submit your tutorials certifying that you've completed the fundamental requirements to join the club.

Submit your tutorials here to finish your process of joining the club. Fill out this form by February 1st, 2024 at 11:59 PM Eastern Standard Time.

See our Tutorials Repo for information on completing the tutorials. If you've never worked with Git and GitHub before, check out our Git Version Control Guide.

  • If your checkpoints are incomplete, then you will not be allowed to join MDST for that semester. In such circumstance, you may attempt the checkpoints again the next semester and resubmit.

The tutorial submission form will be due February 1st, 11:59 PM, after which we will no longer accept sign-ups to join MDST for the Winter 2024 semester.

Step 5: Attend the Project Exploration Fair

After joining the club, we will host a project exploration fair on February 4th, 2024 12-3pm in CCCB 2460 to share the projects which we will run this semester. You can speak with our project leads and learn first-hand about the type of work being done in each project, what the prerequistes are, and if the project is a good fit for you.

After attending, you will be given access to a form to specify your top 3 project choices, from which we will place you into your preferred project (subject to constraints and appropriate difficulty).

⚠️ You must attend the exploration fair to be placed on a project this semester. If you are unable to attend but would still like to participate in projects, you must email us in advance letting us know, and we will consider your request on a case-by-case basis. If emailing us, please include [EXPLORATION FAIR] in your email title. -

Recruiting Timeline Winter 2024

  1. Office Hours 1 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  2. Mass Meeting @ CCCB 0420

    Join us to learn more about MDST and how to become a member.

  3. Tutorial 1 @ Fishbowl Classroom

    Introduction to the command line and Python.

  4. Office Hours 2 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  5. Tutorial 2 @ Fishbowl Classroom

    Build basic data science knowledge for project participation.

  6. Office Hours 3 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Exploration Fair @ CCCB 2460

    Meet with project leads and get to know the project offerings for this semester.

  9. Project Signup Due

    Indicate your project preferences.

  10. Project Work Session @ CCCB 3420 and CCCB 2460

    Start working on data science projects!

FAQ

Are there any requirements to join?

No! We welcome all University of Michigan students, regardless of academic level or major.

I have no data science experience. Can I join?

Yes! Everyone is welcome to join the team! In fact, most of our members have very little data science experience prior to joining. Our goal is to help you learn the data skills necessary to contribute to our projects and perform data science on your own. We do strongly recommend newcomers attend our introductory tutorials, as they will teach you the basics of the tools we use and are also a great opportunity to meet others in the same boat!

During onboarding, are the new member mass meeting/tutorial/office hours mandatory?

No, they are not.

When is the regular meeting time of MDST?

We meet on all Sundays (except for holidays) from 12-3 for a mandatory work session. You are permitted to miss a few of these but we unfortunately cannot accept you if you have a hard conflict.

We also meet on Thursdays from 6-7 for optional social and professional events such as guest speakers and networking sessions.

For a detailed schedule, please see our events calendar.

Will I be able to choose which project team I am on?

Yes! After you join the club, you will be asked to rank your top 5 projects after talking with project leaders. Historically, 90+% of people are placed into one of their top two preferences.

How much time commitment do you require?

Most MDST members spend 3 hours weekly for work sessions + 1 hour for socials on Thursday, totaling about 4 hours per week. This may vary based on the project and level of familiarity with data science.

Does MDST allow for remote participation?

MDST is primarily an in-person club, and all of our events and work sessions are held in-person on campus. We allow remote participation for our projects, but not for our other events. We recommend attending our meetings in-person whenever possible to maximize your experience with the club.

What languages do you use?

We primarily use Python for our projects. If you are an R user, we recommend checking out some helpful tutorials from DataCamp.

I am not a student at the University of Michigan. Can I join?

No. We only accept Umich students.

\ No newline at end of file +

Recruiting Timeline Winter 2024

  1. Office Hours 1 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  2. Mass Meeting @ CCCB 0420

    Join us to learn more about MDST and how to become a member.

  3. Tutorial 1 @ Fishbowl Classroom

    Introduction to the command line and Python.

  4. Office Hours 2 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  5. Tutorial 2 @ Fishbowl Classroom

    Build basic data science knowledge for project participation.

  6. Office Hours 3 @ UGLI Third Floor

    Troubleshooting session for setup, tutorials, and checkpoints.

  7. Tutorial Submission Due

    Submit your completed tutorial materials for acceptance into the club.

  8. Project Exploration Fair @ CCCB 2460

    Meet with project leads and get to know the project offerings for this semester.

  9. Project Signup Due

    Indicate your project preferences.

  10. Project Work Session @ CCCB 3420 and CCCB 2460

    Start working on data science projects!

FAQ

Are there any requirements to join?

No! We welcome all University of Michigan students, regardless of academic level or major.

I have no data science experience. Can I join?

Yes! Everyone is welcome to join the team! In fact, most of our members have very little data science experience prior to joining. Our goal is to help you learn the data skills necessary to contribute to our projects and perform data science on your own. We do strongly recommend newcomers attend our introductory tutorials, as they will teach you the basics of the tools we use and are also a great opportunity to meet others in the same boat!

During onboarding, are the new member mass meeting/tutorial/office hours mandatory?

No, they are not.

When is the regular meeting time of MDST?

We meet on all Sundays (except for holidays) from 12-3 for a mandatory work session. You are permitted to miss a few of these but we unfortunately cannot accept you if you have a hard conflict.

We also meet on Thursdays from 6-7 for optional social and professional events such as guest speakers and networking sessions.

For a detailed schedule, please see our events calendar.

Will I be able to choose which project team I am on?

Yes! After you join the club, you will be asked to rank your top 5 projects after talking with project leaders. Historically, 90+% of people are placed into one of their top two preferences.

How much time commitment do you require?

Most MDST members spend 3 hours weekly for work sessions + 1 hour for socials on Thursday, totaling about 4 hours per week. This may vary based on the project and level of familiarity with data science.

Does MDST allow for remote participation?

MDST is primarily an in-person club, and all of our events and work sessions are held in-person on campus. We allow remote participation for our projects, but not for our other events. We recommend attending our meetings in-person whenever possible to maximize your experience with the club.

What languages do you use?

We primarily use Python for our projects. If you are an R user, we recommend checking out some helpful tutorials from DataCamp.

I am not a student at the University of Michigan. Can I join?

No. We only accept Umich students.

\ No newline at end of file diff --git a/links.html b/links.html index fb3b0ac..7721c43 100644 --- a/links.html +++ b/links.html @@ -1 +1 @@ -Michigan Data Science Team - Links
MDST - Michigan Data Science Team Links Logo

MDST - Michigan Data Science Team Links

Copied!

Interest Form

Website

Linkedin

Instagram

Github

Email

Calendar

\ No newline at end of file +Michigan Data Science Team - Links
MDST - Michigan Data Science Team Links Logo

MDST - Michigan Data Science Team Links

Copied!

Interest Form

Website

Linkedin

Instagram

Github

Email

Calendar

\ No newline at end of file diff --git a/projects.html b/projects.html index 1800855..afd4858 100644 --- a/projects.html +++ b/projects.html @@ -1 +1 @@ -Michigan Data Science Team - Projects

Our Past Projects

Winter 2023

Fall 2022

  • College Football
  • Dogs vs Cats
  • Image Super Resolution
  • Language Translation Application
  • Pokemon Data Science
  • SEC Insider Information
  • Sports Data Science
  • TLDR Machine
  • Twitter Sentiment Analysis
\ No newline at end of file +Michigan Data Science Team - Projects

Our Past Projects

Winter 2023

Fall 2022

  • College Football
  • Dogs vs Cats
  • Image Super Resolution
  • Language Translation Application
  • Pokemon Data Science
  • SEC Insider Information
  • Sports Data Science
  • TLDR Machine
  • Twitter Sentiment Analysis
\ No newline at end of file diff --git a/resources.html b/resources.html index c986331..c5b68e8 100644 --- a/resources.html +++ b/resources.html @@ -1 +1 @@ -Michigan Data Science Team - Resources

Some Helpful Resources

Datacamp

MDST provides interested Michigan students with free access to Datacamp, an online resource for learning data science skills. To gain access, complete the following form.

\ No newline at end of file +Michigan Data Science Team - Resources

Some Helpful Resources

Datacamp

MDST provides interested Michigan students with free access to Datacamp, an online resource for learning data science skills. To gain access, complete the following form.

\ No newline at end of file diff --git a/sponsors.html b/sponsors.html index c05f14e..8b3fac2 100644 --- a/sponsors.html +++ b/sponsors.html @@ -1 +1 @@ -Michigan Data Science Team - Our Sponsors

MDST Sponsors

MDST sponsors directly support our data science education efforts and have direct access to our top data science talent. Reach out to mdst-coms@umich.edu to learn more about ways to partner with us.
Rocket CompaniesWolverine Trading
Engineering Student GovernmentMichigan Institute for Data Science
\ No newline at end of file +Michigan Data Science Team - Our Sponsors

MDST Sponsors

MDST sponsors directly support our data science education efforts and have direct access to our top data science talent. Reach out to mdst-coms@umich.edu to learn more about ways to partner with us.
Rocket CompaniesWolverine Trading
Engineering Student GovernmentMichigan Institute for Data Science
\ No newline at end of file diff --git a/team.html b/team.html index c5ce636..3ebfca1 100644 --- a/team.html +++ b/team.html @@ -1 +1 @@ -Michigan Data Science Team - Our Team

Our Leadership Team

Executive Board (E-Board)

The leadership team determining the vision and direction of MDST.

skunich

Sachchit Kunichetty

President

casperg

Casper Guo

VP of Education

andreye

Andrew Ye

VP of External Affairs

mandali

Amanda Li

VP of Finance

tomsherm

Tom Sherman

VP of Internal Affairs

hyshu

Hannah Shu

VP of Projects

Social Committee

Creates opportunities for MDST members to network and have fun outside of our regular project work. Led by the VP of Internal Affairs.

jmshaver

Jay Shaver

The man

aweyhing

Amelia Weyhing

Social Planner

bneilb

Benjamin Brown

Social Planner

jrosevel

Jonathon Rosevelt

Social Planner

taylornl

Taylor Lane

Social Planner

Finance Committee

The financial backbone of MDST, planning and allocating our monetary resources. Led by the VP of Finance.

ellechen

Elle Chen

Budgeting Lead

niyatik

Niyati Kashyap

Budgeting Lead

Project Committee

Project advisors who help MDST operate our projects smoothly and at scale. Led by the VP of Projects.

grubbse

Elijah Grubbs

Project Planner

xinyaxu

Xinya Xu

Project Planner

advay

Advay Singh

Project Lead Training Manager

temp

Aaron Williams

Education Developer

    mipeng

    Michael Peng

    Education Developer

    External Affairs Committee

    MDST's interface with the wider data science community at U-M and beyond.

    jmshaver

    Jay Shaver

    Website Lead

    jprhee

    Joshua Rhee

    Outreach Lead

      rathreya

      Rohan Athreya

      Outreach Lead

      bigpanda

      Vincent Wu

      Outreach Lead

        uiyer

        Uma Iyer

        Social Media Manager

          clindaru

          Linda Ru

          Web Developer

          Education Committee

          Supervises all of MDST's educational intiatives, supporting our members as they deepen their data science knowledge. Led by the VP of Education

          gosreya

          Sreya Gogineni

          Educational Resource Creator

          yueqiren

          Yueqi Ren

          GitHub Maintainer

          weilez

          Weile Zheng

          Educational Resource Creator

          tansam

          Samuel Tan

          Educational Resource Creator

            \ No newline at end of file +Michigan Data Science Team - Our Team

            Our Leadership Team

            Executive Board (E-Board)

            The leadership team determining the vision and direction of MDST.

            skunich

            Sachchit Kunichetty

            President

            casperg

            Casper Guo

            VP of Education

            andreye

            Andrew Ye

            VP of External Affairs

            mandali

            Amanda Li

            VP of Finance

            tomsherm

            Tom Sherman

            VP of Internal Affairs

            hyshu

            Hannah Shu

            VP of Projects

            Social Committee

            Creates opportunities for MDST members to network and have fun outside of our regular project work. Led by the VP of Internal Affairs.

            jmshaver

            Jay Shaver

            The man

            aweyhing

            Amelia Weyhing

            Social Planner

            bneilb

            Benjamin Brown

            Social Planner

            jrosevel

            Jonathon Rosevelt

            Social Planner

            taylornl

            Taylor Lane

            Social Planner

            Finance Committee

            The financial backbone of MDST, planning and allocating our monetary resources. Led by the VP of Finance.

            ellechen

            Elle Chen

            Budgeting Lead

            niyatik

            Niyati Kashyap

            Budgeting Lead

            Project Committee

            Project advisors who help MDST operate our projects smoothly and at scale. Led by the VP of Projects.

            grubbse

            Elijah Grubbs

            Project Planner

            xinyaxu

            Xinya Xu

            Project Planner

            advay

            Advay Singh

            Project Lead Training Manager

            temp

            Aaron Williams

            Education Developer

              mipeng

              Michael Peng

              Education Developer

              External Affairs Committee

              MDST's interface with the wider data science community at U-M and beyond.

              jmshaver

              Jay Shaver

              Website Lead

              jprhee

              Joshua Rhee

              Outreach Lead

                rathreya

                Rohan Athreya

                Outreach Lead

                bigpanda

                Vincent Wu

                Outreach Lead

                  uiyer

                  Uma Iyer

                  Social Media Manager

                    clindaru

                    Linda Ru

                    Web Developer

                    Education Committee

                    Supervises all of MDST's educational intiatives, supporting our members as they deepen their data science knowledge. Led by the VP of Education

                    gosreya

                    Sreya Gogineni

                    Educational Resource Creator

                    yueqiren

                    Yueqi Ren

                    GitHub Maintainer

                    weilez

                    Weile Zheng

                    Educational Resource Creator

                    tansam

                    Samuel Tan

                    Educational Resource Creator

                      \ No newline at end of file