great to listen this. it's really helpful

Is learning Linux the same as R, Tablo, SAAS, SQL?

Very inspirational.  Enjoyed how he could quickly comment on different techniques or applications of those techniques to solve problems.  His passion for discovery is inspirational.

Hello Kirill, thank you for this wonderful podcast. I have a question though. Nicholas mentioned he tried to look at the big picture of learning a new programming language or any tool for that matter. Could you please elaborate more on it as to how can we approach to understand the big picture while learning and without any real-time experience of having worked on it?

I've been sent here from a course on udemy. It's been very encouraging to go on. Very informative, thank you both.

Very nice and inspiring. Giving real motivation in the direction of DS.

Great to listen to this! Looking forward to learning more

inspirational interview.Congrats Cepeda.Thank you so much Kirill for enlightening us

In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and know about SAS Enterprise Miner. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/41

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

SDS 041: An Inspiring Journey from a Totally Different Background to Data Science

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.

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