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Naked Data Science - 2 - Am I doing real data science work?

2 - Am I doing real data science work?

02/23/20 • 25 min

Naked Data Science

"Am I doing real data science work?" That is a question we hear too often from data scientists. And that is a problem because as long as you are not sure yourself, you can be easily distracted from doing what is really important.

In this episode, we share with you what we see as real data science work. It is not a popular definition, because it gets outside the bubble of data science blog posts. But it will show you a clear direction on how to create meaningful impacts in the real world.

BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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"Am I doing real data science work?" That is a question we hear too often from data scientists. And that is a problem because as long as you are not sure yourself, you can be easily distracted from doing what is really important.

In this episode, we share with you what we see as real data science work. It is not a popular definition, because it gets outside the bubble of data science blog posts. But it will show you a clear direction on how to create meaningful impacts in the real world.

BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

Previous Episode

undefined - 1 - Welcome to Naked Data Science

1 - Welcome to Naked Data Science

The role of data scientists and how businesses approach data science are changing rapidly. Meanwhile, the gap between data science tutorials and real-life problems is getting bigger and bigger. What this means is that if you only focus on developing technical skills and theoretical knowledge, there is a chance that your job won't be there a few years from now.

In this episode, we talk about how you can make yourself future proof and some other questions that people are too afraid to ask.

BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

Next Episode

undefined - 3 - Data science and engineering job market in Amsterdam - Interview with Angus Mackintosh

3 - Data science and engineering job market in Amsterdam - Interview with Angus Mackintosh

The state of data science and data engineering job market in Amsterdam at the start of 2020. What profiles are the hardest to find, career development path, why data scientists and engineers leave their current jobs, ideal team size for tech leads that want to stay hands-on, how many years of experience you need to become a senior data scientist, and advantages of becoming a hybrid.
This is a guest interview with Angus Mackintosh from Orange Quarter. Check out their tech and digital recruitment services at https://orange-quarter.com/
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.

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