Good recommendation and I have already committed there about 7k hours and still working on some interesting projects. But I can't tell that remotely work is good for learning. It is much harder to get experience from colleagues. You should be twice more active to get it from others. But sure you can join many interesting companies from all over the world and find the few which are better fit your interests.

SuperDataScience3

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In this session of the Super Data Science Podcast, I chat with Nano Science PHD turned Data Scientist Dr Wilson Pok. You will learn about the importance of defining business problems, a scientific approach to thinking about data analytics and more.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/3

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 003 : Defining the Data Problem, Academia vs Career and R Modeling Libraries with Dr. Wilson Pok

In this episode of the SuperDataScience Podcast, I chat with the Best Selling Data Science Instructor, Chris Dutton. You will learn about Excel's role in Data Science, know more insights about choosing what to learn in Data Science, and discuss about the modelling luck in a baseball hitter's batting average. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/89

SDS 089: Using Excel in Data Science and Life-Long Learning

In this episode of the SuperDataScience Podcast, I chat with Director of Talent Acquisition at Collective[i], Urie Suhr. You will talk about a headhunter's perspective on finding and recruiting talent, learn how to connect with the right people at the right time, and also know about when your years of experience do not match a job description. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/101

SDS 101: What a Data Science Headhunter is Looking For

In this episode of the SuperDataScience Podcast, we will listen to the Panel Discussion during the DataScienceGO 2017 event in San Diego California, last November 11-12. You will hear one of the insightful sessions that we had during the event - the Panel Discussion, together with our 3 guests - Ben Taylor, Urie Suhr and Hadelin de Ponteves. It was conducted during the second day of the event where all were able to submit their questions through Twitter using a special hashtag. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/105

SDS 105: DataScienceGO’s Discussion Panel on Careers

Do you want to get a memory of this event and access all the sessions of the speakers?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/106

SDS 106: Recap of our DataScienceGO 2017 Conference

What other field of work can you share with us that also allows working remotely?

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/108

SDS 108: Working Remotely

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

SDS 108: Working Remotely

Super Data Science: ML & AI Podcast with Jon Krohn

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