Kirsten Kehrer from datamovesme.com does all kinds of super valuable stuff in SQL and end of 2019 she decided to share it with the world via a free SQL course. The course is focused on data science and has 5 modules with video lectures: Intro Video Module 1 Video Module 2 Video 1 and Module 2 Video…
Tag: datascience
Why Gordon Shotwell uses R
This blog by Gordon Shotwell has passed my Twitter feed a couple of times now and I thought I’d share it here: blog.shotwell.ca/posts/why_i_use_r It in, Gordon present his reasons for using R, describing R’s four unique selling point, and outlining a discussion full of perfectly quotable thoughts and opinions. Do have a look at the…
Online Workshop Tidy Data Science in R, by Jake Thompson
Here’s a website hosting for a five-day hands-on workshop based on the book “R for Data Science”. The workshop was originally offered as part of the Stats Camp: Summer Statistical Institute in Lawrence, KS and hosted by the Center for Research Methods and Data Analysis and the Achievement and Assessment Instituteat the University of Kansas. It is designed for those who…
Podcasts for Data Science Start-Ups
Christopher of Neurotroph.de compiled this short list of data science podcasts worth listening to. See Chris’ original article for more details on the podcasts, but the links below take you to them directly: Data Skeptic DataFramed Not So Standard Deviations Linear Digressions Rework
5 Quick Tips for Coding in the Classroom, by Kelly Bodwin
Kelly Bodwin is an Assistant Professor of Statistics at Cal Poly (San Luis Obispo) and teaches multiple courses in statistical programming. Based on her experiences, she compiled this great shortlist of five great tips to teach programming. Kelly truly mentions some best practices, so have a look at the original article, which she summarized as…
Northstar: The interactive, drag-and-drop data science platform by MIT
MIT researchers have spent years developing the new drag-and-drop analytics tools they call Northstar. Northstar is an interactive data science platform that rethinks how people interact with data. It empowers users without programming experience, background in statistics or machine learning expertise to explore and mine data through an intuitive user interface, and effortlessly build, analyze,…
PyData, London 2018
PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The communities approach data science using many languages, including (but not limited to) Python, Julia, and R. April 2018, a PyData conference was held in London, with three days of super…
Machine Learning and AI courses at Google
Google has announced to provide open access to its artificial intelligence and machine learning courses. On their overview page, you will find many educational resources from machine learning experts at Google. They announced to share AI and machine learning lessons, tutorials and hands-on exercises for people at all experience levels. Simply filter through the resources and…
Bayesian data analysis for newcomers
Professor John Kruschke and Torrin Liddell – one of his Ph.D. students at Indiana University – wrote a fantastically useful scientific paper introducing Bayesian data analysis to the masses. Kruschke and Liddell explain the main ideas behind Bayesian statistics, how Bayesians deal with continuous and binary variables, how to use and set meaningful priors, the differences between…
