In this first episode of "Season 2" of Becoming a Data Scientist podcast, we meet Jasmine Dumas, a new data scientist who tells us about going from biomedical engineering into a data science project experience and then finding her first job as a data scientist.
Podcast Audio Links: Link to podcast Episode 14 audio Podcast's RSS feed for podcast subscription apps]]>
In this first episode of “Season 2” of Becoming a Data Scientist podcast, we meet Jasmine Dumas, a new data scientist who tells us about going from biomedical engineering into a data science project experience and then finding her first job as a data scientist.
Podcast Audio Links:
Link to podcast Episode 14 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes
Podcast Video Playlist:
Youtube playlist of interview videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
Activity 14: Hidden Markov Models
Activity 15: Neural Nets for Text
Data Science Learning Club Meet & Greet
Mentioned in the episode:
Hadley Wickham’s Advanced R book
shinyGEO: a web-based application for analyzing gene expression omnibus datasets
]]>The talk was recorded and video should be out within a few weeks!
Here are the slides: Becoming a Data Scientist – Advice from my Podcast Guests
and the slide notes.
Update 10/26: Here is the recording of my talk, with a playlist of other talks from PyData DC!
]]>In this interview, we meet physicist Debbie Berebichez, who you might recognize from her TEDx talks, her appearances in Discovery Channel’s Outrageous Acts of Science and other TV shows! Debbie grew up in Mexico City and was discouraged by her family and teachers from studying science, but later went on to become the first Mexican woman to get a PhD in physics from Stanford, and is now Chief Data Scientist at Metis Data Science Bootcamp in New York. Podcast Audio Links: Link to podcast Episode 13 audio Podcast's RSS feed for podcast subscription apps]]>
In this interview, we meet physicist Debbie Berebichez, who you might recognize from her TEDx talks, her appearances in Discovery Channel’s Outrageous Acts of Science and other TV shows! Debbie grew up in Mexico City and was discouraged by her family and teachers from studying science, but later went on to become the first Mexican woman to get a PhD in physics from Stanford, and is now Chief Data Scientist at Metis Data Science Bootcamp in New York.
Podcast Audio Links:
Link to podcast Episode 13 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes
Podcast Video Playlist:
Youtube playlist of interview videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
Learning Club Activity 13: Show & Tell
Data Science Learning Club Meet & Greet
Links to topics mentioned by Debbie in the interview:
Metis Data Science Training
[more coming soon]
Verena, David, Kerry, and Anthony are members of the Becoming a Data Scientist Podcast Data Science Learning Club! They appear in the order in which they joined the club, and each discuss their starting points before joining, their participation in the activities, and advice they have for new data science learners. Podcast Audio Links: Link to podcast Episode 12 audio Podcast's RSS feed for podcast subscription apps Podcast on Stitcher Podcast on iTunes Podcast Video Playlist: Youtube playlist of interview videos More about the Data Science Learning Club: Data Science Learning Club Welcome Message]]>
Verena, David, Kerry, and Anthony are members of the Becoming a Data Scientist Podcast Data Science Learning Club! They appear in the order in which they joined the club, and each discuss their starting points before joining, their participation in the activities, and advice they have for new data science learners.
Podcast Audio Links:
Link to podcast Episode 12 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes
Podcast Video Playlist:
Youtube playlist of interview videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
Data Science Learning Club Meet & Greet
1) Verena Haunschmid
Data Science Learning Club Activity 07: Linear Regression
Verena’s Results for Linear Regression on Salary Dataset
Verena’s website
@ExpectAPatronum on Twitter
2) David Asboth
City University London Msc Data Science
Data Science Learning Club Activity 02: Creating Visuals for Exploratory Data Analysis
David’s results exploring London Underground data
Data Science Learning Club Activity 07: K-Means Clustering
David’s results using k-means to draw puppies in 3 colors
FlyLady (the house cleaning system I mentioned)
David’s website
@davidasboth on Twitter
3) Kerry Benjamin
Data Science Learning Club Activity 01: Find, Import, and Explore a Dataset
Kerry’s results for Activity 1 IGN Game Review Data exploration
Data Science Learning Club Activity 02: Creating Visuals for Exploratory Data Analysis
Kerry’s Blog Post about Activity 02 – “My First Data Set Part 2: The Fun Stuff”
Blog post about Data Camp – “The Data Science Journey Begins”
Kerry’s blog post “Getting Started in Data Science: A Beginner’s Perspective”
Kerry’s Blog “The Data Logs”
@kerry_benjamin1 on Twitter
4) Anthony Peña
molecular biology
biotechnology
Data Science Learning Club Activity 07: K-Means Clustering
Anthony’s results for Activity 07
Justin Kiggins, who calls himself a "full stack neuroscientist" talks to Renee about how he started as a musician majoring in music therapy, switched to mechanical engineering, and eventually made his way via biomedical engineering and neuroscience to study auditory perception and the brains of communicating birds. Podcast Audio Links: Link to podcast Episode 9 audio Podcast's RSS feed for podcast subscription apps Podcast on Stitcher Podcast on iTunes Podcast Video Playlist:]]>
Justin Kiggins, who calls himself a “full stack neuroscientist” talks to Renee about how he started as a musician majoring in music therapy, switched to mechanical engineering, and eventually made his way via biomedical engineering and neuroscience to study auditory perception and the brains of communicating birds.
Podcast Audio Links:
Link to podcast Episode 9 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes
Podcast Video Playlist:
Youtube playlist of interview videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
Learning Club Activity 9: Normalization [coming soon]
Data Science Learning Club Meet & Greet
Links to topics mentioned by Justin in the interview:
European Starling
.jpg)
video of starling singing
European Starling song file from Justin [1 min wav]
bird song recursive syntactic structure
Jobs for New Data Scientists website mentioned by Renee after interview
]]>In this episode, Renee interviews Bioinformatics PhD and Data Scientist Erin Shellman about her path to becoming a data scientist, including jobs at Nordstrom Innovation Lab and zymergen. Erin discusses school, job interviews, teaching, and eventually getting to do data science within her field of scientific expertise.
Podcast Audio Links:
Link to podcast Episode 6 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Podcast on iTunes
Podcast Video Playlist:
Youtube playlist of interview videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
Learning Club Activity 6: k-Means Clustering [coming soon]
Data Science Learning Club Meet & Greet
Bioinformatics
Evolutionary Biology
Economics Game Theory
Machine Learning
Biostatistics
Information Science
Systems Biology
Systems Modeling
Comparative Genomics
Nordstrom Innovation Lab (old innovation lab links inactive – appears to be the Nordstrom Technology People Lab now)
Jim Vallandingham (d3)
Crushed It! Landing a Data Science Job
University of Michigan Computational Medicine and Bioinformatics
R
dplyr
ggvis
ggvis interactive controls
ggplot2
R Markdown
Hadley Wickham
Elements of Statistical Learning book
BI Tech CP303 (course Erin taught at University of Washington – use arrow keys to go through slides)
GitHub repository for class
regression
classification – logistic regression, trees
market basket analysis
clustering
UW Business Intelligence Certification
In Episode 3 of the Becoming a Data Scientist Podcast, we meet Shlomo Argamon, who is the founding director of the Master of Data Science program at Illinois Institute of Technology. He talks to us about his path to data science, including research in robotic vision and natural language processing, we discuss the traits of a good data science student, and he gives some advice for those of us learning data science.
Podcast Audio Links:
Link to podcast Episode 3 audio
Podcast’s RSS feed for podcast subscription apps
Podcast on Stitcher
Update 1/19: You should be able to find it on iTunes now!
Podcast Video Playlist:
Youtube playlist of interview videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
Learning Club Activity 3: Business Questions and Communicating Data Answers [to be updated Monday]
Data Science Learning Club Meet & Greet
Here are the links to things Shlomo references in the video:
Illinois Institute of Technology – Professional Master of Data Science Degree
machine vision
robotic mapping
Google Scholar Search for Shlomo Argamon’s publications related to robotics
“Passive map learning and visual place recognition” Doctoral Dissertation [ps.gz from yale]
probability theory
probability distributions
statistical inference
bayesian statistics
Natural Language Processing (NLP)
Google Scholar Search for Shlomo Argamon’s publications related to language
“Automatically Categorizing Written Texts by Author Gender” [Moshe Koppel, Shlomo Argamon, and Anat Rachel Shimoni]
Weka
scikit-learn
Natural Language Toolkit (nltk)
Ethics in Data Science at IIT
Becoming a Data Scientist – A Challenge to Data Scientists (re: bias)
In Episode 2 of the Becoming a Data Scientist Podcast, we meet Safia Abdalla, who started programming and even exploring machine learning and natural language processing as a teenager, and is now a student at Northwestern University, a conference speaker and trainer, co-organizer of PyLadies Chicago, and a contributor to Project Jupyter.
Podcast Audio Links:
Link to podcast Episode 2 audio
Podcast’s RSS feed for podcast subscription apps
(I will distribute the feed out to iTunes and Pocket Cast ASAP. It’s available on Stitcher now!)
Podcast Video Playlist:
Youtube playlist where I’ll publish future videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
Learning Club Activity 2: Creating visuals for exploratory data analysis
Data Science Learning Club Meet & Greet
Here are the links to things Safia references in the video:
information retrieval
Introduction to Information Retrieval by C. D. Manning, P. Raghavan, H. Schütze
natural language processing
NLTK
machine learning
Northwestern Neuroscience and Robotics Lab
pyladies
Chicago PyLadies Meetups
mathematicalmonk’s YouTube series on machine learning
@captainsafia on twitter
Safia’s website
Safia’s blog
JupyterDay Chicago 2016 (post by Safia on jupyter.org)
Jupyter documentation
In this episode we meet Will Kurt, who talks about his path from English & Literature and Library & Information Science degrees to becoming the Lead Data Scientist at KISSmetrics. He also tells us about his probability blog, Count Bayesie, and I introduce Data Science Learning Club Activity 1. Will has some great advice for people learning data science!
Podcast Audio Links:
Link to podcast Episode 1 audio
Podcast’s RSS feed for podcast subscription apps
(I will distribute the feed out to sites like iTunes and Stitcher this week)
Podcast Video Playlist:
Youtube playlist where I’ll publish future videos
More about the Data Science Learning Club:
Data Science Learning Club Welcome Message
Learning Club Activity 1: Find and explore a dataset
Data Science Learning Club Meet & Greet
Here are the links to things Will references in the video:
Library and Information Science
Andrew Ng’s Machine Learning course on Coursera
probabalistic graphical models
Count Bayesie blog
Count Bayesie – Parameter Estimation and Hypothesis Testing
Donald Knuth
Literate programming
Claude Shannon’s Mathematical Theory of Communication
Count Bayesie – Measure Theory
Bayes’ Theorem with Lego
Voight-Kampff and Bayes Factor
Black Friday Puzzle – Markov Chains
Zen Buddhism concept of “beginner’s mind”
Count Bayesie Recommended Books on Probability and Statistics
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