To: All Aspiring Data Scientists: I’ve exchanged messages with many of you about how to land that first job as a Data Scientist. Landing the first job is indeed hard with all the competition, but if you had a road-map for exactly what to do that was created by a Director of Data Science, who’s been […]
In this video from the GOTO Chicago 2017 conference, Dean Wampler (Big Data Architect at Lightbend & O’Reilly Author) explains the streaming Data Architecture and helps to demonstrate the key features to consider when choosing which streaming products to utilize. He speaks about Apache Beam, Flink, Akka Streams, Kafka Streams and Apache Spark and addresses determining factors like latency and volume.
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.
FLINK FORWARD Berlin, from September. Keynote from Xiaowei Jiang, Senior Director at Alibaba. “Bring Flink to Large Scale Production”
From PyData Amsterdam, April 2017. Giovanni Lanzani gives a talk on the Data Science Process and where things can go wrong.
Watch a free webinar by Mark Meloon, an experienced Data Scientist who has first hand experience with the difficulties landing that first gig as a Data Scientist.
He has helped a lot of others navigate and position themselves to get in the door and start their lucrative careers. It worth listening to what he has to say. His advice is proven to work. He’s given talks a major bootcamps (e.g. Metis, Galvanize) and have made a name for himself advising “aspiring” data scientist.
In this free training will show you his proven step-by-step system for landing the job of your dreams, even if you don’t have prior experience or a Ph.D.!
A FREE Masters in Data Science. More and more people are learning on-line via the flood of excellent “open source” resources of classes, ebooks, software, etc. Clare Corthell has created a website to allow anybody to take virtually the same curriculum offered for a Masters in Data Science for Free.
Will it be an official Masters? No, but an official Masters is not always what is needed. Often its the knowledge and experience working with the tools and techniques necessary to actually do Data Science. For some, this free curriculum will allow business-line leaders, Analysts and Programmers from other fields to fill in the education gaps and get better at their job, as well as, one step closer to being an actual Data Scientist. Read More
This article is several years old, but it’s still very relevant today. I get asked this question all the time by students. Hope you find it helpful. – Ted
(Refreshed Post) Predictive Analytics Made Easy!
Download this free eBook now and see how you can start using Predictive Analytics today to drive business decisions! Read More
Domino Data Labs recently made the Gartner 2017 Magic Quadrant for Data Science Platforms. Here, Domino’s Chief Data Scientist, Eduardo Arino de la Rubia, does a great job making the very complex easily understandable. Learn more about the platform…