“R” has spent the last 18 months finishing her masters in Predictive Analytics from a renowned university. She had worked for 5 years as an internal medicine doctor for a hospital group. She was a bit discouraged with the health care and insurance systems. She became a doctor because of a push from her family—a family of doctors. But she wasn’t having any fun. She was quite certain that medicine was not for her.

For a few years, she had read about data science and was finding it more and more interesting. After much deliberation, she applied for and was selected to pursue a masters in predictive analytics at a good school.

It was a very comprehensive program. She learned a lot about statistics, algorithms, risk analytics, data science, text analytics, advanced modeling techniques, visualization, and so on.

However, as graduation loomed, and she looked at the operational analytics roles at her hospital and other healthcare organizations, her confidence waned. She wasn’t sure she could do those jobs, and she returned from informal interviews discouraged and unclear how what she had learned in her analytics program applied to “the real world”.

R eventually found us and our program. After completing our career transition coursework, she has successfully transitioned to operations analytics.

So, what went wrong for R? And how can you avoid the same pitfalls in your analytics career transition path?

To answer that, I want to know where you are in your analytics career transition. Please take this 2-minute survey on your analytics career transition journey so far.

Why? Because your answers will set the agenda for my live webinar on 6 Mistakes To Avoid in Your Analytics Career Transition, to which you are warmly invited.

In this webinar, I will walk you through the top career transition potholes, so you get your first analytics job as quickly as possible You can be in your first analytics job by this time next year. But first, let me show you what not to do. Enroll TODAY for my FREE live webinar on Top 6 Mistakes To Avoid in Your Analytics Career Transition airing live on April 14, 8-9 AM, PT.