Chat Transcript from Data Science Happy Hours 14, Dec 18 2020

December 20th, 2020
By Harpreet Sahota

The full chat transcript from the Happy Hour on Dec 18th. Lots of excellent questions being asked and some amazing answers.

Chat Transcript from Data Science Happy Hours 13, Dec 11 2020

December 13th, 2020
By Harpreet Sahota

Chat Transcript from Data Science Happy Hours 12, Dec 4 2020

December 6th, 2020
By Harpreet Sahota
ben taylor, data analytics mentoring, data by dave, data robot, data science dream job, data science mentor jobs, dave langer, free data scientist mentor, kate strachnyi, monica kay royal, professional data science mentor, questions to ask data science mentor, sarah nooravi, thom ives

Chat Transcript from Data Science Office Hours 10

November 22nd, 2020
By Harpreet Sahota

The Hero's Journey | T. Scott Clendaniel on The Artists of Data Science Podcast

August 23rd, 2020
By Harpreet Sahota
analytics, big data, data, data science, lean analytics, machine learning

Overcoming Imposter Syndrome | Paul McLachlan, PhD on The Artists of Data Science Podcast

August 23rd, 2020
By Harpreet Sahota
agile, analytics, data science, ericsson, lean analytics, machine learning, scrum

Flash Statistics | Marco Andreoni on The Artists of Data Science Podcast

August 23rd, 2020
By Harpreet Sahota
agile, analytics, data science, lean analytics, machine learning, scrum

Data Science Double Bam | Joshua Starmer, PhD on The Artists of Data Science

August 23rd, 2020
By Harpreet Sahota
data science, joshua starmer, machine learning, statquest

The Infinite Retina | Irena Cronin on The Artists of Data Science Podcast

August 22nd, 2020
By Harpreet Sahota
agile, analytics, data science, latinasintech, lean analytics, machine learning, mock interview, scrum, womeinintech, womeninstem

On this episode of The Artists of Data Science, we get a chance to hear from Irena Cronin, the co-author of “The Infinite Retina”. She currently serves as CEO of Infinite Retina, an organization which provides research and business strategy to help companies succeed in spatial computing.

She gives insight into what sparked her interest into spatial computing, how she sees spatial computing influencing our world, and the potential data problems that will result from more spatial computing technology.

Irena shares with us what led her from leaving her career as an equity research analyst on Wall Street to working with AR/VR and other spatial computing tech.

This episode is packed with interesting insights in our future, and I believe anyone listening will have something to ponder on!

Some notable segments from the show

[8:15] Some concerns with spatial computing
[11:10] What makes us human, and how it related to spatial computing
[17:20] The four technical paradigm shifts
[28:56] How spatial computing and autonomous vehicles will shape our future
[43:12] Advice for women that want to break into tech

The Legend of Jeff Jonas | Jeff Jonas on The Artists of Data Science Podcast

August 22nd, 2020
By Harpreet Sahota
agile, analytics, data science, lean analytics, machine learning, scrum

On this episode of The Artists of Data Science, we get a chance to hear from Jeff Jonas, a data scientist who, for over three decades, has been at the forefront of solving complex big data problems for companies and governments.
His software has helped casinos identify fraud, increased voter registration, protected Singapore’s waterways from piracy, and even predicted possible collisions between 600,000 asteroids over 25 years.
Jeff shares with us his journey from creating word processors in high school to being able to sell one of his companies to IBM, along with being one of three people to complete every Ironman triathlon in the global circuit.
This episode is packed with advice, wisdom, and tips that will motivate you!
Some notable segments from the show
[10:27] Jeff’s journey from high school dropout and bankruptcy to finding success
[17:24] Advice on taking entrepreneurial action
[23:04] The importance of curiosity and creativity
[24:42] How Jeff began his Ironman triathlon journey
[31:44] Advice for people trying to break into the data science field