71 episodes

In his book, "Linchpin", Seth Godin says that "Artists are people with a genius for finding a new answer, a new connection, or a new way of getting things done."
Does that sound like you?
If so, welcome to The Artists of Data Science podcast! The ONLY self-development podcast for data scientists.
You're here because you want to develop, grow, and flourish.
How will this podcast help you do that?
Simple.
By sharing advice on how to :
- Develop in your professional life by getting you advice from the best and brightest leaders in tech
- Grow in your personal life by talking to the leading experts on personal development
- Stay informed on the latest happenings in the industry
- Understand how data science affects the world around us, the good and the bad
- Appreciate the implications of ethics in our field by speaking with philosophers and ethicists
The purpose of this podcast is clear: to make you a well-rounded data scientist. To transform you from aspirant to practitioner to leader. A data scientist that thinks beyond the technicalities of data, and understands the impact you play in our modern world.
Are you up for that? Is that what you want to become?
If so, hit play on any episode and let's turn you into an Artist of Data Science!

The Artists of Data Science Harpreet Sahota

    • Self-Improvement
    • 4.7 • 9 Ratings

In his book, "Linchpin", Seth Godin says that "Artists are people with a genius for finding a new answer, a new connection, or a new way of getting things done."
Does that sound like you?
If so, welcome to The Artists of Data Science podcast! The ONLY self-development podcast for data scientists.
You're here because you want to develop, grow, and flourish.
How will this podcast help you do that?
Simple.
By sharing advice on how to :
- Develop in your professional life by getting you advice from the best and brightest leaders in tech
- Grow in your personal life by talking to the leading experts on personal development
- Stay informed on the latest happenings in the industry
- Understand how data science affects the world around us, the good and the bad
- Appreciate the implications of ethics in our field by speaking with philosophers and ethicists
The purpose of this podcast is clear: to make you a well-rounded data scientist. To transform you from aspirant to practitioner to leader. A data scientist that thinks beyond the technicalities of data, and understands the impact you play in our modern world.
Are you up for that? Is that what you want to become?
If so, hit play on any episode and let's turn you into an Artist of Data Science!

    Creativity is a Mindset | Nir Bashan

    Creativity is a Mindset | Nir Bashan

    Nir Bashan is a world-renowned creativity expert. He has taught thousands of leaders and individuals across the globe how to harness the power of creativity to improve profitability, increase sales and ultimately create more meaning in their work.


    FIND NIR ONLINE


    Website: https://www.nirbashan.com/


    LinkedIn: https://www.linkedin.com/in/nirbashan/


    Twitter: https://twitter.com/Nir_Bashan


    QUOTES


    [00:05:42] "I wanted to be insanely creative, like some of my heroes and and I noticed that they had a technique, all of them a little bit different, but they all had some technique. And it turns out that that technique makes them no different than you or I or anybody listening to this podcast. And it makes them no different. It's all about coming up with that creativity and learning how to harness it and repeating it and pulling it out whenever you need."


    [00:08:32] "We live in a society in a day and an age where we can get data on just about anything...But what does it do to have that data? If we're not able to make that information, it's meaningless. "


    [00:12:42] "We've gotten so comfortable in modernity that we're looking for problems that don't exist"


    [00:17:00] "A good company and a good person on a career path is armed with creativity to be able to solve problems as they occur in new and different ways. And that really is the most important thing that we can do today to become relevant and to stay relevant and to stay successful."


    [00:22:49] "I feel that quantification is just the mere act of assigning a number to something and that is just not good enough anymore. It's not."


    [00:25:51] "The numbers aren't really telling us all that we need to know. There's got to be a different way. There's got to be a new way to look at those things. And that way is creativity."


    [00:39:25] "Creativity is a component of our DNA and who we are. And in order for us to really be fully evolved human beings, I think we need to balance our analytical drive with the creative drive"


    [00:53:41] "Egos kill creativity, just like the self-doubt or perhaps even more. We develop egos when we think that we know what will happen and when we think that we have some advantage that other people don't have."


    SHOW NOTES


    [00:01:52] Guest introduction


    [00:02:53] Nir’s journey and path to now


    [00:05:31] Being creative isn’t just for artists and musicians


    [00:07:42] Why is it that just having logic alone is not going to be enough to propel us to the next level?


    [00:10:09] How can a non-creative person discover their creativity and put that to work?


    Harpreet Sahota:[00:14:29] How has creativity impacted business acumen?


    [00:18:14] What are some of the practices of the of yesteryear that we need to get rid of to really be successful in the business of tomorrow?


    [00:21:30] Talking about quantification, can you just kind of make that concept concrete for us? What is it that that you mean when you say quantification?


    [00:25:24] How you’ve been educated out of the creator’s mindset


    [00:27:16] The Trinity of Creativity.


    [00:29:15] Why is it crucial that we shut out the analytical part of our mind?


    [00:32:56] What creativity means to Harp


    Nir Bashan: [00:35:06] Why you shouldn’t be afraid to ask “stupid” questions


    [00:38:12] The importance of being open and receptive and willing to wander off the path that you've paved for yourself


    [00:39:17] Emotional intelligence and creativity


    [00:41:04] Positivity and creativity


    [00:43:58] What questions can we ask ourselves when we’re coming up to a problem to make we frame these problems in more positive ways?


    [00:46:04] What are the personality traits of creativity? How do we cultivate those traits for ourselves?


    [00:48:24] How do we catch ourselves when we're having negative internal dialogs so that we can shift ourselves to have more of the cult

    • 1 hr 10 min
    Data Science Happy Hours 11, 27NOV2020

    Data Science Happy Hours 11, 27NOV2020

    The Data Science Happy Hours keep getting happier!


    Guest's that came by: Thom Ives, Dave Langer, Giovanna Malaga, Monica Kay Royal, and so many more!


    Check it out and don't forget to register for future office hours: http://bit.ly/adsoh


    If you want to interact with me multiple times a week, join Data Science Dream Job for 70% off: http://dsdj.co/artists70


    Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjm


    We were voted one of the top ten data science podcasts by FeedSpot - check it out here: https://blog.feedspot.com/data_science_podcasts/


    Checkout Nicole's article shouting out the show: https://towardsdatascience.com/supercharge-data-science-3da3ccf103-13da3ccf103


    I was on the Rising Laterally Podcast, check it out here: https://www.youtube.com/watch?v=cz6SpTi7tLc


    SHOW NOTES


    [00:04:28] New to data science, trying to get to work experience, and need some tips


    [00:08:04] How do I find out what problems data scientists solving in various industries?


    [00:11:03] How to stay up on trends in the industry


    [00:12:52] How to understand what the business needs


    [00:14:52] One of the most interesting hires Joe made was a 19 year old punk rocker


    [00:16:07] Have more than just technical virtuosity


    [00:17:35] How to go from academia to industry


    [00:20:07] What challenges do you see somebody facing coming from an academic background that primarily uses R in that research setting to somebody who's going to be using it in a business type of role?


    [00:21:41] How to get hired at Amazon


    [00:22:49] Speaking of getting a job at Amazon, LinkedIn top twenty twenty cockier is actually an employee of Amazon. So what does someone need to do to get a job at Amazon?


    [00:25:30] Your previous work experience can still benefit you


    [00:26:35] Do you need a masters in to be a data scientist?


    [00:30:21] Don’t lead a life of meeting spec


    [00:33:58] Books to get business intuition


    [00:35:08] I just completed a masters in math, do I need to do a bootcamp?


    [00:38:30] Some great recommendations for SQL
    each project.


    [00:41:08] I'd like to get my management onboard into automating data integration and consistent dashboards. Do you have any specific suggestions for what goes into the elevator pitch to management over?


    [00:44:56] How to get ETL experience when you already know SQL


    [00:47:39] A question on text analytics


    [00:51:35] How much big data knowledge do I need?


    [00:54:39] What do you think is causing the shift back to the data warehouse?


    [00:57:08] Which book should I read to get up to speed on production ready code?


    [00:58:57] How do I choose the right data and how do I solve a problem?


    [01:01:08] Greg asks an awesome question about costs and benefits of automation


    [01:07:39] What makes a good data scientist?

    • 1 hr 12 min
    Beware of Black Friday Deals | Jeff Kreisler

    Beware of Black Friday Deals | Jeff Kreisler

    Jeff Kreisler uses behavioral science, real life, and humor to understand, explain, and change the world. He’s pretty much your friendly, typical Princeton educated lawyer turned award-winning comedian, best-selling author, and champion for behavioral economics .


    WHAT YOU'LL LEARN
    What money is, why we won't make good money decisions, the common cognitive biases we have related to money, how to not let the retailers dupe you during this holiday shopping season, and more!


    QUOTES


    [11:31] "Traditional economics says everything's cost benefit analysis. Reality is that that's not how it works. We are busy people. We have a lot of stress and we don't always make the rational choice."


    [16:47] "The there's no clear right or wrong choice with money that we all always know. There's always some uncertainty. And when uncertainty is in any decision, that gap gets filled by the emotional needs that we have. The need to feel like we're making the right choice. The need to feel like we've done the right thing. The need to feel good. And that's when we can be prone to make irrational decisions, because we go by our feelings and emotions. "


    [18:08] "I feel like marrying the data science with the people science is going to be like an incredible combination. To not just know where they're going and what buttons to push, but why why are people doing this?"


    [20:30] "When we pay for something, it stimulates the same region of our brain as physical pain. And that pain should serve a purpose. It should make us stop and think about what we're doing."


    [34:01] "You can't pay your rent with the money you save shopping."


    FIND JEFF ONLINE


    Website: http://www.jeffkreisler.com/


    LinkedIn: https://www.linkedin.com/in/jeffkreisler/


    SHOW NOTES


    [00:01:32] Introduction for our guest


    [00:02:42] We talk about Jeff’s journey


    [00:08:06] How Jeff teamed up with Dan Ariely


    [00:13:54] The concept of money


    [00:18:46] Mental shortcuts and money


    [00:22:24] What would you do with $30,000


    [00:25:24] Relativity, money, and why we suck at comparing things


    [00:29:38] System 1 and System 2


    [00:31:33] Don’t fall for the sale price!


    [00:33:22] How retailers will trick you with discounts


    [00:35:52] The anchoring effect


    [00:41:16] Mental accounting


    [00:45:06] Extreme examples of mental accounting


    [00:46:38] Do we have the same cognitive biases for other people's money as we do for our own?


    [00:48:39] Herding and self-herding


    [00:52:28] Jeff shares his top three favorite tips for fighting our flawed financial thinking


    [00:56:37] Some other cognitive biases to watch out for this holiday shopping season


    [00:58:27] It's one hundred years in the future. What do you want to be remembered for?


    [00:59:23] The random round
    Special Guest: Jeff Kreisler.

    • 1 hr 5 min
    Data Science Happy Hours 10, 20NOV2020

    Data Science Happy Hours 10, 20NOV2020

    The tenth episode of the Data Science Happy Hours were popping off! Guest's that came by: Thom Ives, Dave Langer, Ben Taylor, Sarah Nooravi, Giovanna Malaga, Monica Kay Royal, Kate Strachnyi, Carlos Mercado, and so many more!


    Chat transcript: http://theartistsofdatascience.fireside.fm/articles/oh10-chat-transcript


    Huge thanks to our sponsor for this episode - Cloud Academy! Go to https://cloudacademy.com/ and use the coupon code ARTIST for 50% off the monthly subscription fee for life!


    Check it out and don't forget to register for future office hours: http://bit.ly/adsoh


    If you want to interact with me multiple times a week, join Data Science Dream Job for 70% off: http://dsdj.co/artists70


    Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjm


    We were voted one of the top ten data science podcasts by FeedSpot - check it out here: https://blog.feedspot.com/data_science_podcasts/


    Checkout Nicole's article shouting out the show: https://towardsdatascience.com/supercharge-data-science-3da3ccf103-13da3ccf103


    I was on the Rising Laterally Podcast, check it out here: https://www.youtube.com/watch?v=cz6SpTi7tLc


    SHOW NOTES


    [00:02:09] How would you define a full stack scientist?


    [00:04:18] Intrapreneurship: being the first data scientist in an organization


    [00:06:04] What not to do as a data scientist


    [00:07:19] Mistake in cross-validation


    [00:08:54] Building minimal viable products


    [00:10:19] “We're not earthlings, all of us on the screen. We are barely earthlings.”


    [00:12:31] One of the problems with machine learning


    [00:14:04] Screwing up things, the hard way.


    [00:15:43] What do you think about people starting as data analysts and then transitioning into a data scientist, or is there a better way of doing that?


    [00:19:01] “I actually have something against titles themselves. In some cases, they're not what they seem.”


    [00:21:04] “You have to be skeptical of job descriptions. You have to be skeptical of titles.”


    [00:24:11] “How you present your skills is an important way of how they are going to consider you for their position.”


    [00:28:06] Do mock interviews


    [00:28:45] Take the beginner stuff off your resume


    [00:30:56] WTF is a unit test and when do I need them?


    [00:33:24] The rule of thumb for knowing when you need to do unit tests


    [00:33:35] “But it's not technical debt if the debt doesn't come due”


    [00:35:00] Is there going to be a shortage of business domain experts in data science?


    [00:41:27] “At the end of the day, Data analyst, data scientist, the main point that you're trying to do is to solve a problem, to help the business be better, make more money, get more customers.”


    [00:42:43] Can you give some input on how you manage your time?


    [00:44:06] How Sarah Nooravi manages her time


    [00:45:41] How Giovanna manages her time


    [00:47:35] How Harpreet manages his time


    [00:48:36] How Ben Taylor manages his time


    [00:50:07] Carlos says the most un-Carlos thing ever: “Listen to your body”


    [00:51:01] How Dave Langer manages his time


    [00:52:12] A summary of how to manage time


    [00:53:41] Network analytics?


    [00:55:15] Learn to build, learn to sell…if you can do both, you will be unstoppable


    [00:58:11] Test driven development and data engineering


    [01:02:44] What are some things that data scientist are not good at, but they probably should start getting good at?


    [01:07:33] The importance of curiosity
    Special Guest: Carlos Mercado.

    • 1 hr 12 min
    Become Invaluable | Maya Grossman

    Become Invaluable | Maya Grossman

    Maya is a marketing executive, blogger, speaker, podcaster, and a career coach. She’s worked for companies like Microsoft and Google, racking up multiple promotions and raises, and strategically leveling up from an individual contributor to vice president.


    She’s blended her experience climbing the corporate ladder, motivational leadership style, authentic voice, and love for helping others into a book designed to give you the tools you need to succeed!


    FIND MAYA ONLINE


    Website: https://www.mayagrossman.com/


    LinkedIn: https://www.linkedin.com/in/mayagrossman/


    Twitter: https://twitter.com/mayagrosmn


    WHAT YOU'LL LEARN


    [00:14:38] The Owner’s Mindset


    [00:41:48] The influence formula


    [00:43:36] How Maya stopped a plane from taking off


    [00:45:08] How to tell stories with data


    [00:47:37] Talent stacking


    [01:00:55] The top five skills you need to survive the next decade


    [01:01:47] How to ace an interview


    QUOTES


    [11:37] "Invaluable is all about mindset."


    [12:39] "We've had research for more than one hundred years that shows us that career success is best predicted by soft skills. Seventy five percent of your success can be predicted by our soft skills and only twenty five percent by your hard skills or your profession. And even though we know this, there's so little information about how to actually acquire soft skills."


    [15:37] "You need to look at the bigger picture. You need to think like an owner, which means you want to make sure that you get the most out of everything that you do, and you spend the least"


    [19:32] "You need to understand that no matter how small your role is, you are part of a bigger machine. You're part of the company and your job is to make that company successful, however you can. And the minute you realize that, you're going to start seeing opportunities to do more and to help more and in most cases, that's going to give you more experience. You can experiment and see what you like, what you don't like. And it's also a great way to set yourself up for a promotion or for your next role."


    [24:12] "Because if you don't learn and you don't grow, you're basically moving backward. And it's kind of weird. Most people don't read a book after they graduate from college. As we grow up, we were being taught that you need to learn. So you go to school if you're like you go to college. But the minute that ends, there's no motivation to continue learning."


    [28:38] "It's not just someone who gets things done. It's someone who has the ability to identify a problem. They care enough to ask questions, to dig around, to actually take action when they come across something that doesn't work."


    [33:17] "If you're a lateral thinker, you're able to take information from different areas, different disciplines, different things you've done in your life, and apply them to come up with a very creative idea."


    [01:03:08] " I have 15 years of experience and my resume is not two pages long. So if you're early in your career, you do not need twenty thousand bullet points. Less is actually more."


    SHOW NOTES


    [00:01:35] Introduction for our guest


    [00:02:44] Maya talk to us about her upbringing


    [00:04:29] What Maya loves about marketing


    [00:05:36] How all of Maya’s experience culminated in a book


    [00:06:58] What was the process like for you writing the book?


    [00:08:21] What is invaluable all about? What does that mean?


    [00:10:08] Who is that person that you're writing this book for?


    [00:11:21] Is it ever too late to become invaluable?


    [00:12:33] What is the deal with soft skills and why are they so important?


    [00:14:38] The Owner’s Mindset


    [00:16:49] How do we start cultivating this owner's mindset?


    [00:20:03] What can we do to help develop a sense of purpose for ourselves and our work?


    [00:22:56] The craftsman mindset


    [00:23:39] Why you need to be a lifelo

    • 1 hr 14 min
    Data Science Happy Hours 9, 13NOV2020

    Data Science Happy Hours 9, 13NOV2020

    Thom Ives, David Knickerbocker, and Carlos Mercado join in on the fun!


    Huge thanks to our sponsor for this episode - Cloud Academy! Go to https://cloudacademy.com/ and use the coupon code ARTIST for 50% off the monthly subscription fee for life!


    Check it out and don't forget to register for future office hours: http://bit.ly/adsoh


    If you want to interact with me multiple times a week, join Data Science Dream Job for 70% off: http://dsdj.co/artists70


    Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjm


    We were voted one of the top ten data science podcasts by FeedSpot - check it out here: https://blog.feedspot.com/data_science_podcasts/


    Checkout Nicole's article shouting out the show: https://towardsdatascience.com/supercharge-data-science-3da3ccf103-13da3ccf103


    [00:04:05] “I haven’t gotten a job in months, what should I learn next to get a job?”


    [00:05:39] Follow your own obsession


    [00:09:44] What to do when you feel like your brain is getting fried from everything you’re learning


    [00:11:29] Carlos joins in – “Start from the bottom”


    [00:12:53] Don’t worry about your title


    [00:15:18] How to get data science experience without having a data science job


    [00:18:11] David talks about the hype cycle he’s experienced through his career


    [00:19:40] How to balance your learning


    [00:22:10] Why you should speak your mind


    [00:25:01] Thom says a four letter word


    [00:28:50] Eric comes in with a question that has us stumped for a little bit


    [00:29:41] Balancing datasets


    [00:31:32] Rare events


    [00:35:13] Hyperparameter what?


    [00:36:15] The issue with random seeds


    [00:40:31] Thom compliments Eric on sharing his knowledge


    [00:41:55] Where’s everyone joining in from?


    [00:46:07] Diversity and representation is important and welcome


    [00:47:33] Correlation and causation


    [00:53:07] The importance of critical thinking


    [00:56:39] David gets into network theory


    [00:58:11] Functional vs OOP design principles in production


    [01:00:16] “I want production to be beautiful.” – David Knickerbocker


    [01:02:04] Network analysis
    Special Guest: Carlos Mercado.

    • 1 hr 5 min

Customer Reviews

4.7 out of 5
9 Ratings

9 Ratings

fantasolver ,

Great Data Scientists stories.

Thank you Harpreet Sahota. I’m sharing the podcast with my students and all of us DS/DA/DX newbies.

Top Podcasts In Self-Improvement

Listeners Also Subscribed To