<div dir="ltr"><div><div><div><br></div>Hi Folks,<br></div>We have something a bit different in the YPNG this Friday.<br><br></div>Ani Adhikari from Berkeley will be discussing the new data science course <br>at Berkeley: STAT 94 / CS 94 "Foundations of Data Science". Course page:<br><div><div><div>
<a href="https://urldefense.proofpoint.com/v2/url?u=http-3A__data8.org_&d=AwMFaQ&c=-dg2m7zWuuDZ0MUcV7Sdqw&r=V5RFj177zl_uvedej4jPpETqRnYdqAikrafH3LeyUoc&m=N_2eaVX3KMSjigti7Cl3Rp1xLF80sm8gZH-XDQ9oMts&s=0_q58LKIYB36ybBErwmuVKnj4N5F_P6Q4LwIfewDwQs&e=" rel="noreferrer" target="_blank">http://data8.org/<br><br></a><div><i>NB: we will be starting earlier than our usual time. The talk will be<br></i></div><i>from 10:30-12 in the Stat's classroom. </i><br>
<br>STAT 94 / CS 94 Description:<br>
This introductory course in data science is built on three interrelated<br>
perspectives: inferential thinking, computational thinking, and real-world<br>
relevance. Given data arising from some real-world phenomenon, how does<br>
one analyze that data so as to understand that phenomenon? How does one<br>
collect data to answer questions that one is interested in? Inferential<br>
thinking refers to an ability to connect data to underlying phenomena and<br>
to the ability to think critically about the conclusions that are drawn<br>
from data analysis. Computational thinking refers to the ability to<br>
conceive of the abstractions and processes that allow inferential<br>
procedures to be embodied in computer programs, and to ensure that such<br>
programs are scalable, robust and understandable. In addition to teaching<br>
critical concepts and skills in computer programming and statistical<br>
inference, the course will involve the hands-on analysis of a variety of<br>
real-world datasets, including economic data, document collections,<br>
geographical data and social networks, and it will delve into social and<br>
legal issues surrounding data analysis, including issues of privacy and<br>
data ownership.<br></div><div><br></div><div>See you Friday at 10:30.<br></div><div><br>Regards,<br></div><div>sekhar<br><br><br></div><div><a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__teaching.berkeley.edu_dta-2Drecipient_ani-2Dadhikari&d=AwMFaQ&c=-dg2m7zWuuDZ0MUcV7Sdqw&r=V5RFj177zl_uvedej4jPpETqRnYdqAikrafH3LeyUoc&m=N_2eaVX3KMSjigti7Cl3Rp1xLF80sm8gZH-XDQ9oMts&s=e0S8hpg2wmSI0ZGmh1x2bc8nz9xs4pEg72-Z1dfWIjk&e=" rel="noreferrer" target="_blank"></a><div class="gmail_extra"><br><br><br><br><br><br><br><br><br></div></div></div></div></div>