SDS 511: Data Science for Private Investing — LIVE with Drew Conway

Topics covered
Popular Clips
Episode Highlights
R Conference
The R Conference, a cornerstone in the data science community, began with humble origins. recalls the early days when Josh Reich initiated the group, sparking interest with a presentation on analyzing personal finance data using R 1. This meetup, initially held in NYU classrooms, quickly gained momentum, drawing in prominent speakers and fostering a vibrant community 1. highlights the significance of the conference, noting its role in hosting major figures in data science 2.
The first presentation that I saw on R was given by Josh, and it was on how to download your own personal finance data from your online bank and do a bunch of analysis on it inside of R.
---
The conference's evolution from a small meetup to a major event underscores its impact on the data science landscape 3.
Community Growth
The NYHackR community has been instrumental in fostering collaboration and growth within the data science field. describes the community as the world's largest R community, attracting big names like Hadley Wickham and Claudia Perlick 4. emphasizes the importance of giving talks to build connections, noting that presenting can lead to significant career opportunities 5.
If you stand in front of a group of people and give a talk on something you know well or are passionate about, they'll come right up to you.
---
This approach not only enhances personal growth but also strengthens the community by encouraging knowledge sharing and collaboration 5.
Networking
The R Conference serves as a vital platform for professional networking and knowledge sharing. and discuss the conference's role in connecting industry leaders and fostering strategic collaborations 6. The event not only facilitates face-to-face interactions but also provides insights into the latest advancements in data science 7.
There is something intangibly better about meeting people in person, as opposed to from stack overflow posts or something.
---
By bringing together diverse professionals, the conference enhances the exchange of ideas and promotes innovation in the field 7.
Related Episodes


SDS 437: Data Science at a World-Leading Hedge Fund — with Claudia Perlich
Answers 383 questions

SDS 433: Data Science Trends for 2021 — with Ben Taylor
Answers 383 questions

SDS 601: Venture Capital for Data Science — with Sarah Catanzaro
Answers 383 questions

SDS 469: Learning Deep Learning Together — with Konrad Körding
Answers 383 questions

SDS 501: Statistical Programming with Friends — with Jared Lander
Answers 383 questions

SDS 595: Data Engineering 101 — with Joe Reis and Matt Housley
Answers 383 questions

SDS 587: Data Engineering for Data Scientists — with Mark Freeman
Answers 383 questions
SDS 474: The Machine Learning House — with Jon Krohn
Answers 383 questions

SDS 563: How to Rock at Data Science — with @TinaHuang1
Answers 383 questions

SDS 535: How to Found, Grow, and Sell a Data Science Start-up — with Austin Ogilvie
Answers 383 questions
SDS 429: 2020's Biggest Data Science Breakthroughs — with Jon Krohn
Answers 383 questions

SDS 435: Scaling Up Machine Learning — with Erica Greene
Answers 383 questions

SDS 555: Sports Analytics and 66 Days of Data with @KenJee_ds
Answers 383 questions

SDS 517: Courses in Data Science and Machine Learning — with Sadie St. Lawrence
Answers 383 questions

SDS 477: How to Thrive as an Early-Career Data Scientist — with Sidney Arcidiacono
Answers 383 questions













