Analysts & Data Scientists, How to Choose Your Next Role (Part 3 of 4) Paid Members Public
Part One [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-1-of-4/] | Part Two [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-2-of-4/] | Part Three | Part Four [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-4-of-4/] Welcome to the penultimate installment of our four-part series on choosing your next analytics or data science role. So far we examined Location & Timing in Part One [https://qstar.
Analysts & Data Scientists, How to Choose Your Next Role (Part 2 of 4) Paid Members Public
Part One [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-1-of-4/] | Part Two | Part Three [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-3-of-4/] | Part Four [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-4-of-4/] Welcome to Part Two in our four-part series on choosing your next data science or analytics role. In Part One, we looked at the question of role Location & Timing
Analysts & Data Scientists, How to Choose Your Next Role (Part 1 of 4) Paid Members Public
Part One | Part Two [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-2-of-4/] | Part Three [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-3-of-4/] | Part Four [https://qstar.ai/analysts-data-scientists-how-to-choose-your-next-role-part-4-of-4/] While jobs in analytics and AI can be both exciting and lucrative, employee attrition in these roles tends to be high. It is not uncommon to see data scientists move
Evidence Shows That When Making Decisions, People Hate Experiments Paid Members Public
We like to think that this blog, while born out of a trivial New Year’s resolution, has managed to become a reasonably serious outlet. That said, we fully appreciate that today’s post might read like satire, so unbelievable is the topic. It concerns a study published in the
Ask and You Shall Receive - Dealing With Hard Facts Paid Members Public
In a quote frequently misattributed to W. Edwards Deming, one of the fathers of process improvement, ‘In God we trust. All others must bring data.’. But what if someone brings data and we don’t like what the data tells us? Dealing with the results of analysis when it doesn’
Steering The Culture Ship Paid Members Public
I was in Tokyo a few years ago on business and grabbed a beer with a former colleague of mine. He had moved to Japan from the UK a few months previously and was settling into this new environment. I was curious to learn more about the business culture differences,
The Trap of Complex & Easy Instead of Simple & Difficult Paid Members Public
Have you ever tried to build a strategy around a difficult topic and found yourself overwhelmed by the decisions in front of you? Perhaps it seemed like there was no way forward without either causing pain, dropping something important, or backtracking on previous gains you had made. Did any complex
For Flock’s Sake - Data Personalities To Avoid Paid Members Public
To transform your business with data, you need build your capabilities and resources carefully. The hardest part is making sure you have the right people onboard. If you’ve worked in the analytics space for a while, you’ll have come across characters you’ve learned to avoid. I call