October 19-20th 2019, Texas A&M University
Register Now! Volunteer / Mentor

ABOUT

We are proud to announce
Texas A&M University's inaugural datathon!

For the first time, TAMU Datathon is banding together data enthusiasts from across multiple disciplines, skill levels, and universities. TAMU Datathon is a 24 hour event where companies, researchers, and hundreds of students immerse themselves in data science.

We’re coming together to solve real world challenges, learn about data science, hear from leaders in research, and compete for company and university prizes.

This all happens in a fun, interactive, and competitive way by providing our participants the option to take part in the Learner Track or the Competitor Track. We believe the TAMU Datathon will inspire students across all disciplines to integrate quality data-driven practices into their field of expertise.

LEARNER vs COMPETITOR

What does each track entail?

LEARNER

Not quite ready to compete? With just some basic knowledge of Python, we will take you through the all the stages of a good data science project, like data importing/preprocessing, descriptive stats & visualization, machine learning/model building, and report writing! You can even earn points during your journey for some sweet swag!

COMPETITOR

Try out your skills at a chance to win prizes from the university
and/or companies and gain massive bragging rights!

RESOURCES

How do I prepare?

Python

Python is one of the most widely used languages for data science. Open-sourced libraries such as Pandas and Scikit-Learn, as well as industry backed projects like Tensorflow and PyTorch make it one the most important skills to master in the world of data. You can find a multitude of tutorials, classes and books on learning it, but we can direct you to some resources which will help you start you journey with Python.

Learn with Codecademy Learn with Google

R & RStudio

R is another statsitical programming language that is beloved by users in academia and industry alike. It's widely used for data processing and visualization, and thus for data science. RStudio makes it easier to use R by providing a user-friendly interface, debugging and visualization tools. Although we won't be using R in the Datathon, it's a good skill to have nonetheless.

Learn with Codecademy Learn with SwirlStats

Data Science Classes

Growing interest in data science and a shift towards making education more accessible has put classes from the worlds best schools at our fingertips. You can find classes from Stanford and MIT covering topics ranging from Information Theory to Machine Learning to Bayesian Statistics and more, all online. Here are some of the resources we believe will be useful for the Datathon.

MIT Harvard Caltech

SPONSORS

The TAMU Datathon would not be possible without our generous sponsors!
Interested in sponsoring us? Please fill out this form or email us at !

Meet Our Team!

team member
Josiah

Project Lead

team member
Allyson

Logistics

team member
Yun

Logistics & Design

team member
Abdullah

Marketing

team member
Andrew

Marketing

team member
Marina

Marketing

team member
Sorhan

Marketing

team member
Chinmay

Data & Development

FAQ

Something you want to know that's not on here?

  • Imagine 300 students. 1 weekend. Many company sponsors with datasets and prizes. As the first Datathon in Texas and one of the first in the USA, we are leading the charge to bring data science to a hackathon format at Texas A&M. It's designed for both data science novices and wizards. If you'd like to learn about how to start off, or use your skills to compete for some industry sponsored and handpicked prizes, stay tuned for more!

  • Any undergraduate or graduate student who is at least 18. Regardless of your experience, school, education, or background, as long as you are excited about learning, building, and having fun, we’re excited to have you!

  • We are excited that you are interested and will make sure you get something out of the datathon, no matter your skill level. That’s why we are having both learner and competitor tracks. We’ll have lots of resources including workshops and a bunch of mentors to help beginners get started.

    In addition, we’ll have some expert mentors in data science as well to help more advanced attendees that are interested in stretching their skills. Some basic understanding of Python will be assumed for the learner track. You can get started learning now with the resources mentioned above!

  • We are working hard to make it free for you! We'll throw in tons of swag, food, Wi-Fi, workspaces, and caffeine during your stay.

  • Teams can be made of up to four. You don’t need to have a team before the event or have one at all, but model building with friends is more fun! There will be plenty of time after the opening ceremony to form teams if you don't have one by then.

  • Data science is done best when done between a diverse group of individuals who all bring something fresh to the table. We are looking for novices, experts, biologists, statisticians, anthropologists, business analysts, computer scientists, and everyone in-between.

  • Of course! We will have workshops running throughout the whole event. We will release the complete schedule on this website closer to the datathon.

  • We hope to offer travel reimbursements, provided sponsorships allow! Stay tuned!

  • TAMU Datathon will be held on the Texas A&M Campus in College Station, Texas, October 19-20, 2019. The exact location will be released closer to the event.

  • The Learner Track will use Python and Jupyter Notebooks to take someone who has no or little experience in data science through the entire data science process to build their own analysis. We will cover essential Python packages for data science like NumPy, Pandas, Scikit-learn and Matplotlib.

    Our interactive lecture series will take you through data reading and cleaning, data visualization, model building (machine learning), tuning/validation/evaluation, and results presenting. You will have personal mentors who are experts in their field help you every step of the way.

    Think you’re up for a challenge? Compete for prizes and bragging rights in the Competitor Track! We’ll have company workshops for you to attend as a competitor, but the challenges would expect familiarity with data science.

Major League Hacking 2020 Hackathon Season