Categories Education

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‘Weaving’ — 21st Century Servant Leadership for Systemic Health

Reflections on the Ashoka ‘Global Change Leaders’ gathering to promote transformative innovation in education (1 of 4) “Humpty Dumpty sat on a wall; Humpty Dumpty had a great fall; All the King’s Horses and all the King’s men, could not put Humpty Dumpty back together again.” — English Nursery Rhyme WE LIVE in a fractured world […]

Using Microlearning to Craft and Effective Training Program

Crafting lessons on the principles of microlearning speeds up the creation process, makes it cheaper to produce content, and permits your learners to absorb instruction in a manner that promotes retention while fitting into their busy schedules. Developing and distributing external training programs for your customers, channel partners, employees or […]

Yet Another 42 Creative Analogies To Provide You Perspective on Analytics

New Articles inspired by the games, heroes, movies, and more… It’s that time again. Time for yet another 42 analogies designed to give you perspective on Data & Analytics. It has been 5 months since our last 42. It has been 20 months since the original. So our run rate has […]

My First Hacktoberfest — Experiences of Contributing to Open Source as a First Timer

Contributing to Open Source and projects can seem like a daunting process. Your favorite search engine will return a ton of results on guides and repositories to get started. But many times, your search does not yield the result you want, you still do not know how to contribute to […]

Markov Chain Monte Carlo in Python

A Complete Real-World Implementation of Bayesian Inference The past few months, I encountered one term again and again in the data science world: Markov Chain Monte Carlo. In my research lab, in podcasts, in articles, every time I heard the phrase I would nod and think that sounds pretty cool […]

Open Machine Learning Course. Topic 1. Exploratory data analysis with Pandas

With this article, we, OpenDataScience, launch an open Machine Learning course. This is not aimed at developing another comprehensive introductory course on machine learning or data analysis (so this is not a substitute for fundamental education or online/offline courses/specializations and books). The purpose of this series of articles is to […]

The four data science skills I didn’t learn in grad school (and how to learn them!)

Photo by Element5 Digital on Unsplash Before I get to the meat of this post, I want to make one thing super clear: you do not need a graduate degree to be a data scientist. Unless you’re doing cutting-edge machine learning research (which, let’s be honest, doesn’t describe 99.9% of data […]

Simplifying The Analytic Process — TAP #12

The Transmogrification Of Your Data… Hidden In Plain Sight If you’ve been following along in the series, you know that we use an (I) to indicate the information phase of The Analytic Process (TAP). You also know that each of our phases has its own letter. You could say we are […]

Simplifying The Analytic Process — TAP #11

Reflections are often more flawed than the model. (O) Reflecting On The Model A little over a month and ten articles ago, I introduced a simplified model of analytics. It has been very well received. But is it any good? In hindsight, I made the only claims that one should about a model. […]