EP30 – Programming? Damn!

Hello People,

While doing some research in order to get into the programming prism; I feel like having the first words of “The sound of silence – Paul Simon and Art Garfunkel” hitting in my head: Hello Darkness my old Friend,  I’ve come to talk with you again!

Holy Molly! Being someone who knows some HTML, random MySQL functions and how to navigate while understanding some source code of websites (via Inspect); I must admit that learning to code more complex languages is hard when you do not know where to start… So how to do?

EP29 – Next Milestone: Programming

Hello People,

While completing a course on UDEMY (Another one), namely, Programming 101; I encountered some new jargon. Namely: primitive data, nouns, adjectives, verbs, variables, constants, functions, parameters, arguments, objects, arrays, elements, hierarchy and operators.

This got me thinking of Jeremy Achin and his theory about fake data scientist out there. His main insight about this axiom of his was that on the road to becoming a data scientist; the road to follow is as follow: Statistics, Programming, Algorithm, Practical Knowledge leading to Real World Experience.

However, the learning path can be “Shortcut-ed” by skipping the three first stages and get to Practical Knowledge and Real World Experience. This was materialized by his DataRobot Project. Conclusion, pondering is getting real!

EP28 – Boom! 15 Bios done & theme found!

Hello People,

The months of May and June were very insightful. I committed myself to do the bios of Research Orientated Data Scientist and Data Scientist turning Entrepreneurs. While, some of the profiles were really interesting, others were a bit off the pitch for me due to the engineering background.

However I managed to get those bios done and ended up with drawing the contours of my theme as a Data Scientist :

“Using data while inputting energy and thinking, and delivering insights and enlightenment in various fields to be understood and used by everybody!”

EP27 – Data Scientist : Carla Gentry

Hello People,

Here is the fifteenth article of my series concerning famous Data Scientists. We will be focused on Data Scientist who turned Entrepreneur. This article is the last for the Data Scientist turning Entrepreneur section. Today we will talk about the self proclaimed, data nerd, Carla Gentry. From Johnson & Johnson to Hershey to Kraft to Kellogg’s to Firestone then founding Analytical Solution.

So we will follow the following steps.

(1) Who is this Data Scientist?

(2) What is his work & Entrepreneur project are about?

(3) How can I benefit of such learning insights in my career path & theme selection?

EP26 – Data Scientist : Jeremy Achin

Hello People,

Here is the fourteenth article of my series concerning famous Data Scientists. We will be focused on Data Scientist who turned Entrepreneur. Today we will talk about Jeremy Achin. From Travelers Insurance to founder of DataRobot.

So we will follow the following steps.

(1) Who is this Data Scientist?

(2) What is his work & Entrepreneur project are about?

(3) How can I benefit of such learning insights in my career path & theme selection?

EP25 – Data Scientist : Jeffrey Hammerbacher

Hello People,

Here is the thirteenth article of my series concerning famous Data Scientists. We will be focused on Data Scientist who turned Entrepreneur. Today we will talk about Jeffrey Hammerbacher, A.K.A Jeff, A.K.A Data God according to Fast Company. From Wall Street to Facebook Data Team lead to Co-founder of Cloudera.

So we will follow the following steps.

(1) Who is this Data Scientist?

(2) What is his work & Entrepreneur project are about?

(3) How can I benefit of such learning insights in my career path & theme selection?

EP24 – Data Scientist : Sebastian Thrun

Hello People,

Here is the twelfth article of my series concerning famous Data Scientists. We will be focused on Data Scientist who turned Entrepreneur. Today we will talk about Sebastian Thrun. From Stanford to Google Glass to Google X to Udacity while building intelligent cars.

So we will follow the following steps.

(1) Who is this Data Scientist?

(2) What is his work & Entrepreneur project are about?

(3) How can I benefit of such learning insights in my career path & theme selection?