Here’s a good article answering a very common question asked by folks who want to further shift their career focus into analytics, cloud computing, data science, and machine learning.

Breaking into the field of data science has to be navigated before launching into a career. Earning a job in data science isn’t easy, especially since there are extra job seekers in this analytics jobs.

One of the questions that I get asked a lot is how to get started in Data Science. In some ways, it’s easier now than when I started — there’s a lot more learning resources. In others, it’s harder — there’s a lot more competition for data science jobs.

Here’s a great article from with six bits of advice for those wanting to get into this field.

Building experience before landing a job Data science is a field with a huge demand, in part because it seems to require experience as a data scientist to be hired as a data scientist. But many of the best data scientists I’ve worked with have diverse backgrounds ranging from

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Between my regular MSDN column, Frank’s World TV, the Data Driven podcast, and this blog, it’s safe to say that I create a lot of technical content. While much of this is second nature to me now, here’s a great video from the Open Source Show with Adron Hall and Christina Warren.

Based on their experiences writing for various sites, hosting YouTube series, and organizing and presenting at conferences, Adron and Christina share their top tips for creating technical content, including the critical things that are easy to forget. You’ll learn where they (and others) have gone wrong, so you don’t make the same mistakes –and get the advice you need to capture – and keep –audience interest, without sacrificing practical, useful, and technical guidance.