[Continually Updated] MastersInDataScience.org has culled together a list of 23 of the best US Universities/Colleges that offer a Masters in Data Science. Read More
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.
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…
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!
Learn how a software engineer transitioned into machine learning through a data science bootcamp.
Using Taxify as an example, this article discusses the skills needed as a data scientist in addition to your technical background.
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
Interesting informational video on how Data Science is trending. Good to check out if you are interested in a career in Data Science.
Fast track your job hunt through Data Science career fairs. The article discusses the top ways for students to get hired. Topics include the following: Gaining Internships, understanding the hiring process, getting exposure to trends and organizations, getting feedback, direct exposure to hiring managers, and deciding what industry you wish to pursue.
In the following article, William Schmarzo discusses the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.