Data Science. Optimization. Collaboration.

The University of California, Berkeley welcomes you to join Bay Area schools in the 2nd Annual Bay Area Decision Sciences Summit hosted by the Institute of Industrial and Systems Engineers (IISE). Teams of interdisciplinary students will derive insights from a real-word data set and present findings to IEOR professors. There will be beginner workshops hosted by UC Berkeley's Data Science Society (DSS) introducing a popular data analytics tool called Jupyter Notebook. Food will be provided.

NOTE: Space is limited to 40 students so you must register for the event in advance. Register on our website by 11:59 PM Wednesday, March 13th to reserve your spot. We will email all registered students to confirm attendance. Teams will be formed on the day of the event.

Schedule

March 16, 9:00 AM – 6:00 PM

1174 Etcheverry Hall

2505 Hearst Ave, Berkeley, CA 94709, USA

8:30 - 9:00: Check-in/ Breakfast

9:00 - 10:00: Opening Industry Speaker

10:00: Data Released

10:00 - 11:00: Workshop on Python and Pandas

11:00 - 12:00: Workshop on Data Processing, Cleaning, and Analysis

12:00 - 1:00: Distribution of Snacks and Lunch

1:00 - 2:00: Workshop on Data Visualization and Linear Modeling

2:00 - 3:00: Data Science Office Hours

4:30: Findings and Solutions due for Data Competitors

4:30 - 5:30: Students Present Findings to Judges

5:30 - 5:45: Closing Speaker

5:45 - 6:00: Awards Ceremony

Workshops

Data Science Society @ Berkeley is hosting a 3-part workshop series for the Data Science Summit! In each hour, the workshop will be a mix of some lecture and some hands-on exercises.

Note: We will be working with the Anaconda platform, the Jupyter notebook environment, and the Python programming language.

In order to attend this workshop, please follow the linked tutorial to download Anaconda, if you don’t have it already.

Windows: https://www.datacamp.com/community/tutorials/installing-anaconda-windows

Mac OS X: https://www.datacamp.com/community/tutorials/installing-anaconda-mac-os-x

Workshop 1 - Python and Pandas: In this hour, our teachers will be doing an introduction to Python and the Pandas library. You do not need any programming experience to attend

Workshop 2 - First half of the data science life cycle: In this hour, you will focus on attaining data, cleaning data, and starting basic analysis. This workshop assumes you have a knowledge of Python and some knowledge of libraries like Pandas, matplotlib, etc. For a challenge, beginners are still encouraged to attend.

Workshop 3 - Second half of the data science life cycle: In this hour, you will focus on more visualization, advanced analysis, and drawing conclusions. This workshop assumes you have a knowledge of Python, some knowledge of statistics, and some knowledge of libraries like Pandas, matplotlib, etc. For a challenge, beginners are still encouraged to attend.

FAQ

Who can participate?

We hope you’ll walk away with tools to approach a data science problem, and an understanding of either Python, Panda, or Juypter. It is also a fantastic opportunity to work with others who are interested in the same subject! We will invite industry speakers and have judges who are either working with data science or are currently professors at Berkeley, so it’ll be a great way to learn more from those who are deep in the field. Come out for a day of food, fun, and learning. There will also be prizes .

What if I don’t know anything, can I still participate? Will I benefit from this experience?

You don’t need any experience to participate! We welcome all levels as we will have workshops throughout the day to introduce you to tools and methods in order to break down the data set. Additionally, some people will have more experience than others, and the focus of this summit is collaboration. You will learn from workshops, but also others. This is an opportunity to learn more about data science, the tools used to break it down and organize it, and meet others who are also interested in this field

What are the workshops about?

There will be 4 different workshops. The first will teach python and pandas- the tools to help with data science analysis. The second two will teach the two phases of the data science lifecycle. And the last one will expand on visualization and regression techniques. In each hour, the workshop will be a mix of some lecture and some hands-on exercises. Check out the workshops section for more details

Will I be working individually or in a team?

Should I come?

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News

BADSS Summit Helps Grow Bay Area Decision Sciences Community

Sometimes you can learn more by collaborating with others outside the classroom than you can learn inside of it.
That was what San Francisco State University (SFSU) College of Business dean, Linda Oubre, told students to kick off the first ever Bay Area Decision Sciences Summit (BADSS), an event organized by undergraduate students and faculty from the University of California at Berkeley, San Jose State University (SJSU), Santa Clara University (SCU), and SFSU.