Welcome to Data Science Society at Berkeley’s very own DeCal: Data Science Skills! This course is geared towards exposing you to essential Data Science and Statistical Analysis topics that will challenge you, sharpen your skills, and elevate you in the internship game.

In this course, you will learn everything you need to know from the ground up—from an introduction on how to proficiently use Git/Github, to building essential collaboration skills through programming projects, querying databases, and finally, Statistical Analysis.

This class is an application-based, 2-unit P/NP course with an emphasis on concepts that require minimal background but amount to significant pain points for those learning data science at UC Berkeley. It will consist of 3 projects, some collaborative, that will help you build up your portfolio. The course is graded on satisfactory completion of these projects. There will be a few readings, but writing assignments are for extra credit.

We encourage all interested students of all majors to enroll in this course. The student facilitators, lecturers, and TAs intend to provide you with a comprehensive introduction to data science, with the goal of preparing you for the industry. We, therefore, encourage students who are genuinely enthusiastic and interested in what we have to offer to enroll. Please email datasciencedecal@gmail.com with any questions or concerns, and we will be happy to get back to you!

The enrollment code will be given to the people who complete the first homework 0 in the first lecture which is on 6th February in Moffitt 102 (6:30 -8:30 PM). Please fill out the Enrollment Interest Form below: Enrollment Interest Form Link - www.tinyurl.com/info98dss