In this interview with Data Scientist Mark Meloon, we turn the tables and I provide advice to “aspiring” Data Scientists on how to land that first job. It’s broker down into 10 Parts (by question.). Enjoy!
Take a look at the strategy Metis uses to build a team of data scientists.
In this article + interview from MastersInDataScience, learn information on “How to Become a Data Scientist” and read an interview with Lisa Qian, Data Scientist at Airbnb about what she does on the job.
The students studying computer science and data understand that they have a lot of options to consider when it comes to choosing a career. While they may have plenty of resources to refer to when studying in their courses, quality materials that stay current with degree developments and costs are typically in less supply, though […]
Whether you’re completely new to computer science or have a decent programming background (without formal training), this is a great FREE Course from Harvard called CS50 “Introduction to Computer Science”.
It can also be taken for certification or course credits as well (info in article). It’s easy to follow along and has received much praise from the 10’s of thousands who’ve taken it to date. In this post you will have direct access to all the video lectures and links to do more. Read More…
Are you interested in a career in Data Science? This video discusses the following:
– The Art of Data Science
– What a Data Scientist Does
– What makes a good Data Scientist or a Data Science Team
– Why are companies setting up Data Science Teams
– How long does it take to become a Data Scientist
In the ever evolving healthcare industry, the following Ted-talk discusses the critical ways machine learning is savings lives through earlier detection of illnesses.
When author Kate Strachnyi wanted to learn more about data science, she went straight to the source. In a series of more than twenty interviews, she asks leading data scientists questions about starting in the field and the future of the industry. Strachnyi’s interview subjects include team members from some of the world’s largest organizations, including LinkedIn, Pinterest, Bloomberg, and IBM.
Some Thoughts on Mid-Career Switching Into Data Science Posted by William Vorhies on October 3, 2017 at 7:06am View Blog Summary: If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey. We get lots of inquiries from readers asking for career advice and many […]
“Scaling makes your life difficult, Scaling can take hours, days, or weeks to perform which may delay needed data processing”