Data36 Data Science Podcast Tomi Mester

In this episode, I had a guest on the podcast: Zoltan Prekopcsak (VP of Data Science and Analytics at Prezi, previously VP of Data Science at RapidMiner). I asked Zoltan to share his story focusing on one question: How did he get his first data science job -- or in other words: how did he become a data scientist?

It's a pretty interesting and exciting interview, where you can hear about the first steps of a now-senior data professional. Zoltan talks about his side projects, about the data science competition he enrolled in with his friends (back in 2007!), about his first internship and eventually his first junior data scientist position.

MENTIONED IN THE EPISODE:


Zoltan's Linkedin Profile: https://www.linkedin.com/in/preko/
RapidMiner: https://rapidminer.com/
Prezi: https://prezi.com/
Netflix Competition: https://en.wikipedia.org/wiki/Netflix_Prize
Kaggle: https://kaggle.com/
StackOverFlow: https://stackoverflow.com/
Secret Sauce Partners: https://secretsaucepartners.com/

--------


Check my website: https://data36.com
Get access to more data science tutorials, join the inner circle: https://data36.com/inner-circle
Find me on Twitter: https://twitter.com/data36_com

Finding a data science mentor is tricky… Well, finding a mentor for any profession is tricky!

You know, the best minds that you would love to learn from are quite often very busy and hard to get in touch with. In this article, I’ll show you a few tips and tricks that helped me find a data science mentor back in the day — and I think you can take advantage of these, too.


Youtube video format: https://youtu.be/XfiN6OGEfVY
Original article format here: https://data36.com/find-data-science-mentor/

LINKS MENTIONED IN THE EPISODE:


Meetup.com
Newsletter: https://data36.com/newsletter
Free mini-course: https://data36.com/how-to-become-a-data-scientist/

IMAGE SOURCES:


wikipedia

Check my website: https://data36.com

Get access to more data science tutorials, join the inner circle: https://data36.com/inner-circle

Find me on Twitter: https://twitter.com/data36_com

There are three popular languages for data scientists: SQL, Python and R. I create a lot of tutorials about SQL and Python on my blog… But I never talk about R. So the question provides itself: Is R required for data science?

Youtube video: https://youtu.be/t4KnjpbRzos

Original article format here: https://data36.com/is-r-required-for-data-science/

LINKS MENTIONED IN THE EPISODE:


https://data36.com/learn-sql-for-data-analysis-from-scratch/
https://data36.com/learn-python-for-data-science-from-scratch/
https://trends.google.com/trends/explore?date=2010-09-01%202020-09-28&q=python%20for%20data,r%20for%20data
https://businessoverbroadway.com/2019/01/13/programming-languages-most-used-and-recommended-by-data-scientists/
https://www.kdnuggets.com/2018/11/most-demand-skills-data-scientists.html
https://bestbet.data36.com/
Newsletter: https://data36.com/newsletter
Free mini-course: https://data36.com/how-to-become-a-data-scientist/

Check my website: https://data36.com

Get access to more data science tutorials, join the inner circle: https://data36.com/inner-circle

Find me on Twitter: https://twitter.com/data36_com

I get way too many questions from aspiring data scientists regarding machine learning. Like what parts of machine learning learning they should learn more about to get a job. And I don't want to disappoint you -- but the thing is that when you get started as a junior, ninety five percent of your projects won't be about Machine Learning. At least, that's a rough average. So what parts of machine learning should you learn more about when preparing for your first job?

Well. None? :-)

Okay, that's not true. There are some parts that you'll have to know about. I'll talk more about that in this episode. 


Youtube version: https://youtu.be/yHfRQwOkhJY
Original article format here: https://data36.com/machine-learning-algorithms-for-juniors/ 

LINKS MENTIONED IN THE EPISODE:


https://data36.com/linear-regression-in-python-numpy-polyfit/
https://data36.com/jds/
http://www.r2d3.us/visual-intro-to-machine-learning-part-1/
Newsletter: https://data36.com/newsletter
Free mini-course: https://data36.com/how-to-become-a-data-scientist/

Check my website: https://data36.com

Get access to more data science tutorials, join the inner circle: https://data36.com/inner-circle

Find me on Twitter: https://twitter.com/data36_com

I’ve talked a lot already about the three primary skills you need to know for data science: coding, statistics and business thinking… But it’s worth listing those secondary soft skills that you might need to be efficient and successful in day-to-day work as a data scientist. In this episode, I'll talk about these!  


Youtube version: https://youtu.be/cv0a6X5ioNs
Original article format here: https://data36.com/soft-skills-data-scientist/ 

LINKS MENTIONED IN THE EPISODE: 


https://data36.com/presentation-tips-for-data-professionals/ 
https://www.16personalities.com/ 
https://data36.com/productive-data-scientist-not-more-smarter/ 
Newsletter: https://data36.com/newsletter 
Free mini-course: https://data36.com/how-to-become-a-data-scientist/ 

IMAGE SOURCES: 

- Photo by NeONBRAND on Unsplash  

MORE:


Check my website: https://data36.com
Get access to more data science tutorials, join the inner circle: https://data36.com/inner-circle
Find me on Twitter: https://twitter.com/data36_com

Is it important for data scientists to have domain knowledge in a specific field? Sure it is! You can't come up with meaningful conclusions, and drive results from your data science projects, if you don't know the business you are in. That's sort of self-evident. But how important it is exactly and how much domain knowledge should you have before you apply for a specific data position? In this podcast episode I'll explain everything.


Youtube version: https://youtu.be/aUgo988Ssl4
Original article format here: https://data36.com/domain-knowledge-data-scientist/  

LINKS MENTIONED IN THE EPISODE: 


- How to Become a DS: https://data36.com/how-to-become-a-data-scientist/ 
- 7 Books to Get Started with Data Science: https://medium.com/@datalab/wannabe-data-scientists-learn-the-basics-with-these-7-books-1a41cfbbdd34 
- https://prezi.com/ 
- https://www.izettle.com/ 
- 6-week data science course: https://data36.com/jds/  

Check my website: https://data36.com 

Get access to more data science tutorials, join the inner circle: https://data36.com/inner-circle 

Find me on Twitter: https://twitter.com/data36_com