Value Driven Data Science: Boost your impact. Earn what you’re worth. Rewrite your career algorithm.

[00:00:00] Dr Genevieve Hayes: Hello and welcome to Value Driven Data Science, the podcast that helps data scientists transform their technical expertise into tangible business value, career autonomy, and financial reward. I'm Dr. Genevieve Hayes, and today I'm joined by Daniel Bourke. Daniel is the co-creator of Nutrify, an app described as Shazam for food.
[00:00:25] And teaches machine learning and deep learning at the Zero to Mastery Academy. In this episode, we'll explore the path from traditional data science employment to building a thriving independent career, and discuss the practical steps needed to transform your technical skills into sustainable freedom and financial success.
[00:00:47] So get ready to boost your impact. Earn what you're worth and rewrite your career algorithm. Daniel, welcome to the show.
[00:00:55] Daniel Bourke: Good morning, Genevieve. It's great to be here. Also good to, talk to a fellow Australian.
[00:01:00] Dr Genevieve Hayes: Yeah, great to hear an Australian accent for a change. Like most data scientists, I spent the first part of my career working in traditional nine to five employment roles because with bills to pay and limited work experience, a regular job seemed like the safest approach. But traditional employment was never my goal.
[00:01:21] I longed for the autonomy, creativity, and financial rewards. I believed self-employment could bring. However, it was only after the COVID lockdowns when nothing felt safe anymore, that my dreams of working for myself no longer seemed so insane, and I finally made the leap. Many data scientists have similar dreams of breaking free from traditional employment, but don't know how to begin.
[00:01:45] Yet there's no one single path to data science, self-employment. Every independent data professional I've met has their own unique story. This episode isn't about my journey to self-employment, but rather, this is about your journey. Daniel, you started on the path to becoming an independent data professional very early in your career.
[00:02:07] I believe it was before you turned 30. Is that right?
[00:02:11] Daniel Bourke: That's correct.
[00:02:12] Dr Genevieve Hayes: So, what aspects of traditional employment did you find the most limiting or frustrating?
[00:02:17] Daniel Bourke: Well, I actually really liked the job that I had. But it was what do I want more? And I just kind of knew from the beginning, my ideal case was always I want to. Run my own thing, I used to think I was kind of sold in probably the mid 20 10, on having a big company.
[00:02:33] Or being a founder. I was sold on that vision seeing Silicon Valley. I booked a one-way ticket to America at one stage. And then I kind of realized, actually no, that's not what I want. I would rather either be a solo entrepreneur or a small team working on something fun or something that I enjoyed.
[00:02:53] But the job that I had was probably the second best thing to that when I booked a one way ticket to the. United States. 'Cause that's basically, I'm from Brisbane, Australia, that's where I was born and raised. Getting into the tech field, basically all that I heard was, if you go to America, like that's where the jobs are.
[00:03:10] And so my naive approach was, I'll just go there and figure it out, find a job at a large company, Facebook, Google, who knows? I just kind of had that little bit of audacity about me. And so while I was in the process of trying to do that, I met someone in Brisbane and then they said, Hey, do you wanna come in and see what we are doing?
[00:03:29] And it turned out that they were working on machine learning. I actually only had two university students there. So I was a third person of that small team and I think I went in there for two to three days and then after that I go, Hey, do you want to.
[00:03:43] Come on board. And so I started there part-time. Eventually that moved into full-time and it was really good because I could work as a machine learning engineer. This is 2018 and we worked on a bunch of different problems with all different companies in Australia from every different industry.
[00:04:00] And I actually really liked that most of it was proof of concept. Because machine learning in 2018 wasn't where it is in 2025. , That was before it was branded as ai. I think it just transitioned from data science to machine learning in terms of a marketing perspective.
[00:04:14] And of course now everything's just ai. But no, I really liked that, but I just had this poke in my side the whole time like, Hey, I want to work on my own. I really did not know what that looked like. And it got to a point where I was making things on the side, like YouTube videos, writing blog articles.
[00:04:32] And then it got to a point where it was sort of, okay, I can't really give my all at both of these things. And so I decided I'm gonna just. It all on myself. At the time I thought that was a big risk, but in hindsight I'd kind of made good connections, built good relationships at the place I was.
[00:04:52] So if I'm being realistic, I probably could have gone back. But mentally I kind of had to tell myself, Hey, you got this. You'll figure it out. And then within a few months after leaving the machine learning engineer role that I really liked someone. From Canada.
[00:05:08] Andre, my business partner now reached out to me and said, Hey, we are creating machine learning materials on zero to mastery. Do you want to be the instructor? I'm the web developer. We need someone from machine learning. Do you want to be that person? And then I was like, sure, because I had learned machine learning, data science from the online materials at the time in around 20 17, 20 16 ish.
[00:05:30] I'd already been to university. With a bachelor of science degree in food science and nutrition. Not anything related to, well, we did do some data analytics and stuff like that, but nothing in the machine learning sort of space. And so I self studied online because I didn't really want to go back to university after I'd already been there.
[00:05:47] I'd kind of learned how to learn, so I studied online and then when I got into industry, I realized there's a bit of a gap here between what's been taught online and what I was doing day to day as a machine learning engineer working with some of the largest companies in Australia. And so I was like, okay, here's what I do day to day.
[00:06:04] I'm gonna just take that practical stuff and turn that into a curriculum. And I did. And lo and behold, that turned out to hit off pretty well. And so that serendipity opportunity of someone reaching out to me who I'd never met and going, Hey, do you wanna partner up? I made the materials that turned into be a teaching business and that's led into other business opportunities such as consulting, enabling me to work on my own projects such as Nutrify.
[00:06:32] And so it was kind of, just snowballed from there. I. But it all started from, okay, I really like this job. If I leave this job, it's kind of, for me, I had to just treat it as a one-way street. And the I guess, mindset change was like, Hey, I just gotta back myself. It's like all the effort I've put into being here.
[00:06:50] I feel like if I put that same effort or even more into just my own thing, well then I'll give myself the best chance at succeeding.
[00:06:59] Dr Genevieve Hayes: I understand what you're saying and also understand that whole point about, doing two things at once, you just can't make any progress. When you've got two things going on. You've always got one that is dominating your mind. And if it's your traditional job, then. What you're doing on the side effectively just becomes a side hustle and you can never make any real progress with it.
[00:07:21] And if it's what you're doing on the side and you're ignoring your traditional job, then you're probably gonna get fired from the traditional job eventually. I.
[00:07:30] Daniel Bourke: So the one caveat I do like with that is I like , the case studies of, Einstein for example, and I know it's kind of a trite example 'cause Einstein's used for everything but 1905 when he published the four miracle papers or something like that, which are what Einstein's known for.
[00:07:45] He had a job at a patent office. So you can do something on the side that maybe isn't, see the problem with me was the thing I was doing on the side was completely related to what I was doing day to day. And so , the overlap was great, but then all of a sudden it's like
[00:07:59] if it's related on one side, it's like on your side hustle to your main thing. Well then I know now in retrospect, I need downtime. I need a break from the computer. I can't be full-time 24 7 on the computer. Need time to just think and separate from what I'm doing day to day.
[00:08:18] Dr Genevieve Hayes: I understand what you mean. I have a rule that I, don't switch my computer on, on Sundays and Yeah. 'cause
[00:08:23] Daniel Bourke: I've got a similar rule.
[00:08:25] Dr Genevieve Hayes: yeah, I go crazy and so , after about lunchtime on Saturday, that's it, the computer goes off and then I take the rest of the , weekend off. Otherwise, your brain just fries.
[00:08:36] Daniel Bourke: I. I, yep, totally agree.
[00:08:38] Dr Genevieve Hayes: Yeah. So you've talked about the mind , set shift that you had to make during this transition. But what about the practical aspects of making that transition from traditional employment to working for yourself? Things like finances benefits, self-discipline, were there any challenges you faced or special preparations that you had to make?
[00:09:00] Daniel Bourke: So I had some savings and I was living at home still. I was 25, I believe. And I'm sort of like, okay, I'm gonna give myself six months to basically, go all out at this. And so I was like a monk almost.
[00:09:12] I did have free rents, so I was lucky with that. Well, I paid a little bit of board, but nothing dramatic. But I was like, okay, I'm just gonna create because when I was at the full-time job, I was creating YouTube videos and making blog posts on the side.
[00:09:25] And so. Now I don't have a job. I, well, when I immediately left, I had a contract with an educational company to make a small course there. So combined, that small contract with the savings. And that was like, okay, if I spend X amount, I have six months runway to basically get something off the ground.
[00:09:44] And so my approach from there was, I'm just gonna just keep following the trend, but I'm gonna accelerate it. So I already had a little bit of momentum when I left, so I was like, okay, I'm gonna, this seems to be working, I'm going to double down on that. So from a practical standpoint, it was I had a lucky scenario very fortunate to be able to live at home and I had not a great amount, but enough savings to not have to sort of worry for the next six months.
[00:10:12] I. Like buying food or something like that. But it was just like, I did have that sort of feeling inside me. It was like, okay, I need to just accelerate this. I'm not just gonna sit around and wait for something to come. I'm gonna actively, I. Approach that. And again, I really didn't know what it was, I was, again, lucky enough that something sort of came to me.
[00:10:32] But if you go from the other side, yeah, sure that's luck. But that was because I was making things and putting them out there constantly. Not all of them were great, but some of them turned out to hit. So that was sort of my approach. And that's actually like kind of still my approach now is to do that.
[00:10:49] Dr Genevieve Hayes: So you were just putting YouTube videos up on the internet? Was that the predominant thing you were doing? The YouTube videos?
[00:10:55] Daniel Bourke: That was a predominant thing. And then there was article writing. So where the, opportunity reached out to me was actually from the article. So I had partnerships, so I did one video and an article on, it seems, I think YouTube likes to push anything with Google, products in there.
[00:11:12] So I did a video about Google Cloud, how I got certified as a machine learning engineer. That kind of went pretty viral for the machine learning space. And that led to an opportunity to partner up with a cloud. Educational course to make a Google Cloud program. So that was like my first opportunity on my own without full-time employment.
[00:11:32] That was like, wow, that was cool. And then I published another article which was like, Hey, here's what I learned as a machine learning engineer. My first year on the actual job. And that went semial on medium, and then , I had emails inbound from that going, Hey, do you wanna partner up?
[00:11:48] We're making machine learning educational materials. And then I ran with that opportunity and that's still going now that turned into zero to Mastery Academy.
[00:11:56] Dr Genevieve Hayes: So , they reached out to you, you didn't know. Actually have to reach out to them.
[00:12:00] Daniel Bourke: No. So , that's probably one of my things I'm trying to get better at is , asking for what you want or reaching out directly. I have this article of like, when someone asks me , how do I get a job in machine learning? One of them is of course, ask directly, , find the person who you should talk to.
[00:12:17] Then the other one is just start the job before you have it. If there's something you want to do, just start doing it. And then publish your work. And then if you get good or if it's the right thing, like the magic of the internet is that someone will notice. So I guess it sounds like you're taking a bet, but that's kind of.
[00:12:36] Any project, nothing's guaranteed from the start. If you knew how it would work out from the start, then it's be kind of boring to me. And that's with any project, even if you're at a full-time job, it's called data science for a reason.
[00:12:48] Because , it's experimental in nature. You start a project, you actually don't know if it's gonna work because , you gotta run experiments. So. At the moment, I'm contracted with a US company in the natural sciences space. And I'm helping them with their machine learning project.
[00:13:05] And , the thing that I said basically from the start is , Hey, we're gonna have to just do this in three to six week chunks because we'll get to one stage and , we won't know whether the algorithms are going to suit. Building a demo these days is really quite easy. But then putting that into production that's where the real meat is.
[00:13:23] I'm like, we're gonna just have to keep testing this iteratively. We won't know starting next week, that six weeks, it's gonna be exactly where we want it. So we gotta just test this iteratively, iteratively, iteratively, and do an experiment. So the same thing, I feel like. , This is again hindsight, but when I was on my own for the first time, I was like, okay, this has seemed to work of putting stuff out there in the past, so I'm gotta just keep doing that.
[00:13:50] And if it doesn't, then I'll change my approach. But it turned out too, again, lucky break, or was I just prepared? I don't know. So it's a little combination of both, right?
[00:14:02] Dr Genevieve Hayes: What you just said about, doing the job that you want before you get it. That really resonated with me because. One of the mindset shifts that I had to make when I first went out on my own was I was so used to being in a traditional job where I. Often you had to get approval for things. So you'd come up with this brilliant idea and then you'd have to often get approval and so I had some fantastic ideas that never made it off the ground 'cause I couldn't get through the approval stage.
[00:14:32] And I remember when I wanted to start this podcast and it was something I really wanted to do. And I remember recording the first episode and just sort of expecting someone I don't know who this person was to come in and shut it down because I don't know whatever reason. And it took me about, the first half dozen episodes to convince myself, no one was going to come and say, no, you can't do this anymore.
[00:14:59] Daniel Bourke: Yeah, exactly right. I feel like that's probably the number one thing is to just change your mindset from like seeking, if you're in a job like, hey, I'll ask my manager if I can work on this to it's like, oh no, there's no constraints here. If I want to publish a podcast, I just turn on my microphone and click publish on YouTube.
[00:15:18] And that was probably my main driver as well. Like, I loved my job, but I also loved just working on whatever I wanted to basically. So yeah, I think that's, to me probably the number one, mindset change is going, there are no barriers these days. Like a lot of the things that you might put up as well, it's like, oh, it because money to train machine learning models.
[00:15:37] But yeah, it's like, okay, we'll find a different way. Or like you can go to hugging face, find a data set, find a pre-trained model, start working on a project that really interests you. And I feel the secret sauce is going, wow, there's no barriers. I can just start creating
[00:15:51] Dr Genevieve Hayes: Do you read the writing of Tim Denning?
[00:15:54] Daniel Bourke: Tim Denning. Oh, he's Australian too, right?
[00:15:57] Dr Genevieve Hayes: Yeah. He's down in Melbourne.
[00:15:58] Daniel Bourke: Not recently, but I have seen his posts. I.
[00:16:00] Dr Genevieve Hayes: He often talks about the permission economy versus the permissionless economy. , So he worked in a big Australian bank , and he talks about how, , he had to ask for permission to even go to the bathroom there. Versus, working for himself, which is the permissionless economy where, if you wanna do something, you can just do it.
[00:16:19] Daniel Bourke: Yeah. So yeah, I really like that freedom of just being able to, and that's me personally. Like there's always like a balance. You can have a permission less economy of like a really stable job. And then on the side you just work on whatever you want the Einstein story from before of going to the office and then, hey, on the side I'll just do some relativity papers.
[00:16:41] Dr Genevieve Hayes: Yeah. I wish I could do that, but, so it sounds like, you had quite a few opportunities come to you now, I'm guessing you didn't say yes to a hundred percent of the opportunities that came your way. Some of them probably weren't a good fit for you. How did you choose which opportunities to say yes to and which to say no to?
[00:17:08] Daniel Bourke: So that's a great question . I would say now, I do have a fair few inbound opportunities. It wasn't like that at the start. And so that's one of the things of momentum in the internet is like the more your YouTube channel grows, for example, the more inbound you get. Versus at the start.
[00:17:27] No one really cares. So at the moment, I say no to almost everything. But at the start I was like going, wow, I got one. I was like, oh my gosh. I said yes, basically straight away. And it came from a practical standpoint of I need something, I can't just be whimsical in the breeze for a bit.
[00:17:44] And then it turned out probably three or four came through at the very beginning. And then the one that I was like, okay, andre from Zero to Mastery, he is like, Hey, I'm doing web teaching online. He showed me the results that he'd got from web teaching, and so I was like, okay if I can replicate that with machine learning, well then that's something sustainable for the.
[00:18:04] Foreseeable future. And so that's when I decided to go all in on that. At the moment it's basically no to most, but if something really cool comes up, like this project that I'm working on with a US company and the natural space biology space, I was like, wow, that really interests me.
[00:18:24] That's got crossovers with what I worked on before. If we can get this to work well then I can use that for. Other materials in the future, whether it's YouTube videos or creating courses, and I'd really like to see this project that we're working on together come into the world. So that's where it's at now, but previously it was like almost anything that came my way.
[00:18:43] I was like, wow, this is really cool. I'm gonna see if I can do it.
[00:18:48] Dr Genevieve Hayes: So it sounds like initially you took what you could get, but now , the decision is based on how well it aligns with your future goals.
[00:18:55] Daniel Bourke: Yes, and I have a really big problem of trying to do everything. So I kind of just have to default to saying no, because I see something new research get published, and I get really excited. I'm gonna spend , three days on that when I've already 80% through three other projects that should be finished.
[00:19:12] So I have to put that restraint on myself of default to no. But yeah, I guess it just really depends , on where you're at. In the beginning I was really open to anything basically. Whereas now I've sort of had a couple of years of being able to hone my craft. Being able to be in that really fortunate position of going, okay, no, I've got this, two or three things that I wanna focus on and I'm gonna say no to whatever comes in.
[00:19:35] Dr Genevieve Hayes: Do you still do unpaid, research and development type work for yourself on the side? I.
[00:19:41] Daniel Bourke: Yeah. Well I would say the project that I work on with my brother Nutrify, is we're not earning any money from that. Well, a small amount of people who are subscribed, but you could basically say that it's a. Pro bono project, but I like working on things that are in the real world deployed and other people can use them because as a teacher, I like having that skin in the game of going, Hey, I'm working on real projects that are live and in production now.
[00:20:06] So the things that I'm teaching you in my courses from. Actual products. They're not just sort of, oh, I've read research papers and put this into a little tutorial. It's like, no, this is from an actual deployed product that's in the world. It's not earning Facebook money, but they are paying customers.
[00:20:24] And so, I would say I like that circle. And I like also the ability to, I can build this into production just 'cause it's fun. And that's probably one of my other things as well, is like, it's okay to work on projects that don't necessarily result in huge financial boons but rather. Spark your own interest.
[00:20:44] And so that's the thing with data science, machine learning, ai, whatever you wanna call it, is that you never know when something's gonna overlap into something else. So the fact that I built Nutrify from the ground up led me to figure out how to run machine learning models really efficiently on small devices, which is exactly the project that I'm contracted with at the moment with this.
[00:21:06] US companies, they want to run computer vision models on device. And so when they reached out to me, I was like, well, this is my wheelhouse. This is what I do day to day. So it's kind of a good crossover of skills I guess, and interest.
[00:21:20] Dr Genevieve Hayes: For someone starting out, what type of activities Would you recommend focusing on first?
[00:21:25] Daniel Bourke: Mm. So that's a real tough one. 'cause I guess mine is obviously biased to what I've got experience with. So my experience is creating educational courses and teaching skills. There is a big demand out there for almost. Any skill that someone has had or honed over a certain number of years in a company to teach people, out there who are eager to learn. Whereas I grew up in a family business that my parents were swim coaches, , and my dad was a teacher and so I kind of inherently, I. Learned that subconscious skillset of teaching by just growing up in that family business.
[00:22:03] And I was a coach as well, assistant coach for swimming and whatnot. So I kind of learned that crossover of skills of being able to talk to. A crowd and explain something that they might not necessarily understand, but I have experience with. And so that's where I found that crossover of teaching courses.
[00:22:22] But again, that's gonna be completely different to someone who's hasn't grown up in that environment. Hasn't yet. May have a completely different skillset. So as for revenue streams, that's one I can recommend because that's my experience. But otherwise you might be looking for contract work or consulting work because
[00:22:41] these are tried and true businesses. And I've only really just sort of this year. Done another consulting project, whereas before that it was all creating online, creating courses, creating YouTube videos partnering with companies like Nvidia for doing paid videos on YouTube. So that's definitely one option, but.
[00:23:03] Back to what we were saying before. There's no limitations here. You could start a podcast, you could write articles on Medium and put 'em on the premium side. A lot of startups these days. What they do is they have a affiliate program of like, Hey, if you, promote our staff then we'll give you some kickbacks. And again, none of these are guaranteed. That's the kind of the risk that you sort of have to take is giving it a shot. But again, they're all done by normal people like you, and me. So any effort that you've put into what you've already done and what you've already achieved, if you put that same effort into backing yourself, then you're giving yourself the best chance to succeed.
[00:23:41] Dr Genevieve Hayes: Mm. And the other thing is, one thing that used to frustrate me about all the. Traditional jobs I had was, I'd spend several years building something in a traditional job, and then I'd leave that job and I'd lose everything I'd created. So, you know, I'd have to hand it over. And what I really love about what I'm doing now is this all belongs to me.
[00:24:01] If I stop doing this, I don't have to hand it over to someone else and it becomes theirs. This podcast, for example, always belongs to me and. So anything you try, yeah. Might not lead to money, but at least you still own the intellectual property at the end of it.
[00:24:18] Daniel Bourke: No, you're so right. That's actually probably the first one I would recommend. Probably the best thing I did on this sort of journey was create my own website. So that's what I would recommend everyone do is get your name.com if it's available or if not, mine wasn't available. So I just used mr d Bourke.com and
[00:24:35] that was basically the central hub for everything that I did. And so as you said, you get to own it. You publish a blog article, you publish a podcast, you publish a YouTube video, whatever it is, the tutorial, you can just link back. That's your own little corner of the internet. And so that's essentially becomes your portfolio.
[00:24:51] It's like instead of a resume with you've got four dot points of here's what I've worked on. Well, I've got a whole. Website of what I've worked on. So it's your own little repository. And that's basically back to my best advice for people, who want whatever job they want is like, start the job.
[00:25:05] Before you have it. So whether it's creating a GitHub repo of code for a certain project that you want to work on, that's your ideal job. You start it, you add code there, you write about it on your own website, all of a sudden you become the person for that thing. So, yeah, that's probably my practical step.
[00:25:22] Create a website, start publishing stuff at the start. , It won't be good, but that's okay. Everyone starts somewhere. You can go back to my first blog articles. They're not that great. My first 30 YouTube videos were me talking in my car. So it's a process, right? It's like anything you get better with repetition and practice.
[00:25:41] Dr Genevieve Hayes: Yeah. And what's one step? Data scientists who are considering making the move to independence could make tomorrow to get started on their journey.
[00:25:50] Daniel Bourke: So I would go create your own website, , wherever it is. But your domain, 'cause there are websites like Medium and Substack you can create. But like all technology companies, they may go away whereas you create your own website that's your place forever.
[00:26:03] You don't have to go back and change URLs. If Substack shut down tomorrow, your website's still alive. You can cross publish these things, but then if you've got a existing job, you've probably learned a lot on the last six months or the last 12 months, or this project that you've been working on for a couple of years, and you can start to create educational material about what you've worked on.
[00:26:25] It doesn't have to be explicit. Of course there are privacy concerns with projects, but I was able to create everything I've created without breaching any privacy concerns because it's the nature of the beast, right? You don't have to talk explicit details, you can just talk about the process.
[00:26:39] Even the big companies at the moment, they publish almost their entire pipeline as educational material. I. So that's a practical step. Create your own website and then start by, okay, over the next three months I'm gonna write half a dozen articles of, they don't have to be long, a thousand words.
[00:26:54] That's the permissionless society, right, you can write about whatever you want. That's the beauty of it doesn't have to follow a certain structure. That was a big thing that I learned when I was. Sort of writing, I was like, oh my gosh, I don't have to follow a criteria sheet. I can just start writing whatever comes outta my brain.
[00:27:10] And then of course you have to make it a little bit better 'cause you edit it up. It might just be word vomit to begin with, but it's like, okay, here's what I've learned. And so in the future, potential revenue streams is. I don't know how this is gonna work, but the internet sort of works its magic.
[00:27:26] I had someone come out to me 'cause they'd found that I'd published a certain thing on running computer vision models on devices, and they said, Hey, we wanna do that. Can you give us some advice? And I went back and forth with them for two or three meetings and then all of a sudden they're like, oh, we actually want to.
[00:27:42] Get you onboard. Not full time, but like as a consultant for this project for the next three months. And I was like, okay, sure. But you don't know where that's gonna come from, but that's a start, right? That's a practical step you can do. And what it does is any business that you partner with is gonna want one skill.
[00:28:01] Two, they want your knowledge of education, and three, they want good communication. So you are hitting all of those boxes by publishing what you know. I. So you are one, showcasing what you got in skill. You're two, you're educating people if they wanna learn how to do that themselves. And three, writing is still the main communication of all business around the world.
[00:28:24] So if you're ever want to improve, a skill that applies to everything it's writing because that's how people communicate.
[00:28:33] Dr Genevieve Hayes: So for listeners who wanna get in contact with you, Daniel, what can they do?
[00:28:37] Daniel Bourke: So probably my main one would be my website, mr d Bourke.com. My email's on there daniel@mrdBourke.com or my YouTube channel if they just want to see what videos I've published. That's Daniel Bourke as well. But probably the best place is yeah, mr d Bourke.com.
[00:28:53] Dr Genevieve Hayes: And there you have it. Another value packed episode to help turn your data skills into serious clout, cash, and career freedom. If you enjoyed this episode, why not make it a double? Next week, catch Daniel's value boost a 10 minute episode where he shares one powerful tip for getting real results real fast.
[00:29:14] Make sure you're subscribed so you don't miss it. Thanks for joining me today, Daniel,
[00:29:19] Daniel Bourke: Thank you. That was a lot of fun.
[00:29:21] Dr Genevieve Hayes: and for those in the audience, thanks for listening. I'm Dr. Genevieve Hayes, and this has been Value Driven Data Science.