Data36 Data Science Podcast
Tomi Mester
Subscribe
You might be an aspiring or junior data professional, a small business owner looking forward to being more data-driven, or someone who's just generally interested in data science… Either way, if you have just started your journey with data science, this is the right podcast for you!
Available episodes
Newest first
Oldest first
Nov 28, 2020
How did you become a Data Scientist? with Zoltan Prekopcsak (VP of Data Science @Prezi)
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
playlist_add
Oct 30, 2020
How to Find a Data Science Mentor (3 Tips)
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
playlist_add
Oct 20, 2020
Is R required for Data Science? (my opinion)
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
playlist_add
Oct 16, 2020
What MACHINE LEARNING algorithms should an aspiring data scientist learn and practice more?
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
playlist_add
Oct 13, 2020
About Soft Skills (presentation skills, people skills, pm skills)
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
playlist_add
Oct 10, 2020
DOMAIN KNOWLEDGE: Is it Important for a Data Scientist?
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
playlist_add
Oct 8, 2020
BIG DATA: Should an Aspiring Data Scientist Learn More About It? (NO)
Should an Aspiring Data Scientist Learn More About Big Data? No. And in this episode, I'll tell you why.
* Youtube version: https://www.youtube.com/watch?v=StpXg0frfGE
* Article format here: https://data36.com/big-data-junior-data-scientist/
_LINKS MENTIONED IN THE EPISODE:_
* Image, here: https://data36.com/big-data-junior-data-scientist/
* Apache Hadoop: https://hadoop.apache.org/
* Apache Spark: https://spark.apache.org/
* Python API (Spark): https://spark.apache.org/docs/latest/quick-start.html#self-contained-applications
* SparkSQL: https://spark.apache.org/docs/latest/sql-programming-guide.html
* PySpark with Pandas: https://spark.apache.org/docs/latest/sql-pyspark-pandas-with-arrow.html
* Newsletter: https://data36.com/newsletter
* Free mini-course: https://data36.com/how-to-become-a-data-scientist/
_IMAGE SOURCES:_
- own presentations
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
playlist_add
Oct 7, 2020
What Does a Data Scientist's Day Look Like?
In this episode, I'll answer a frequently asked question - which is: "What does a data scientist's day look like?"
Youtube version: https://youtu.be/B7Cr5AMkWVQ
Original article format here: https://data36.com/data-scientists-day/
LINKS MENTIONED IN THE EPISODE:
* Mindmapping tool: https://miro.com
* Newsletter: https://data36.com/newsletter
* Free mini-course: https://data36.com/how-to-become-a-data-scientist/
IMAGE SOURCES:
* Photo by Sincerely Media on unsplash.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
playlist_add
Oct 1, 2020
Is Data Science Hard? 4 Untold Truths about Learning Data Science
Did you flirt with the idea of learning data science? You are not alone. This has been a really hot topic in the last few years and it will be one in the upcoming few, for sure. Yet, very few people actually become data scientists.
Why?
Well, part of the problem is that many aspiring data scientists don’t know what to expect from this field. Or even worse, based on the many misleading (sometimes scammy) “how to become a data scientist” articles, they have false expectations. And when they hit the wall, they get demotivated and quit.
In this podcast episode, I want to show you four untold truths that you should know about learning data science – and I have never seen them written down anywhere else before.
Original article format here: https://data36.com/learning-data-science/
Youtube video here: https://youtu.be/44xhV7PJB7g
LINKS MENTIONED IN THE EPISODE:
* Data server tutorial: https://data36.com/data-coding-101-install-python-sql-r-bash/
* LinkedIn Workforce Report 2018: https://economicgraph.linkedin.com/resources/linkedin-workforce-report-august-2018
* Glassdoor.com -- best jobs in the US 2019: https://www.glassdoor.com/blog/best-jobs-in-america-2019/
* Glassdoor.com -- best jobs in the US 2018: https://www.glassdoor.com/blog/best-jobs-in-america-2018/
* Shift Happens 2018
* Data36 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
playlist_add
Sep 20, 2020
Why You Shouldn't Go to Casinos... (3 Statistical Concepts)
In this podcast episode, I'll tell you why you shouldn't go to casinos.
The house always wins. We all know this phrase. But this is more than a phrase. This is a simple, mathematically proven fact. And you'll only have to know three statistical concepts to see why the house always wins. (These three statistical concepts come up often in data science projects, too. So if you are wondering why I’m talking about gambling on a data science channel, rest assured, you'll be able to take advantage of this knowledge in your data science career, too.)
Anyways, three statistical concepts.
These are:
* Survivorship Bias
* Expected Value
* Hot-Hand Fallacy
Youtube vid version: https://youtu.be/MkfPALtnDG8
_FUN GAME TO TEST YOURSELF:_
* https://bestbet.data36.com
_LINKS MENTIONED IN THE EPISODE:_
* Expected Value Formula + Calculations: https://data36.com/expected-value-formula/
* Statistical Bias Types: https://data36.com/statistical-bias-types-explained/
* 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
**********
playlist_add
Jul 29, 2020
What is Data Science?
In this podcast episode I’ll answer a very simple question: What is data science?
Well, the question is simple, sure… But the answer is rather complex.
The problem is that there are no generally accepted definitions. But in this article, I’ll show you many important aspects of data science. And by the end, you’ll have a pretty clear mental picture about what it is exactly!
You'll learn:
* What data science is
* What skills you need to do it
* The real meaning of all the "buzzwords"... (Machine Learning, Artificial Intelligence, Deep Learning, Predictive Analytics…)
* Data science project examples
* and more...
Article format: https://data36.com/what-is-data-science/
LINKS MENTIONED IN THE EPISODE:
* Data36 Inner Circle / Newsletter (free resources)
* Deep Learning at Tesla by Andrej Karpathy, Director of AI at Tesla (Andrej’s talk starts at 1:52:05 and ends at 2:24:55)
* Google's "AI" assistant
* Boston Dynamics' robot
* Learn Python (free artic…
playlist_add
Jul 29, 2020
Data36 Data Science Podcast (intro episode)
Hi dear Listener!
I'm Tomi Mester from Data36.com and this is the Data36 Data Science Podcast. What a creative name, I know… But you get the concept: this is a podcast about data science.
Here, I'll explain important data science concepts, sometimes I'll interview data experts and sometimes I'll bring one of my articles from the data36 blog here to the podcast, so you can listen to it on the go!
You might be an aspiring or junior data professional -- a small business owner looking forward to being more data-driven -- or someone who's just generally interested in data science… Either way, if you have just started your journey with data science, this is the right podcast for you!
All episodes will be available in all podcast applications, so feel free to subscribe to this channel anywhere you are listening to it right now... But the best way to get notified about new episodes is always the data36 newsletter list - the only place where I really communicate to my audience - you can sub…
playlist_add