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New episode of the DataCafé is out now!
"Entrepreneurship in Data Science"
Hear us talk to Freddie Odukomaiya about the skills a data scientist needs to be an entrepreneur & The Lean Startup approach to get your product from concept to launch.
👉 https://www.buzzsprout.com/1073626/5447728
How do you get your latest and greatest data science tool to make an impact? How can you avoid wasting time building a supposedly great data
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
At first you got to recruit your customers one by one...
"The most common unscalable thing founders have to do at the start is to recruit users manually. Nearly all startups have to. You can't wait for users to come to you. You have to go out and get them."
What a whirlwind four weeks! For the past month, I’ve been working toward mastery in product design and development, and if there was one word to sum it all up, that would be Value!
Initially, when I found out Product Design and Development would be the next course in my Master’s Degree program at Full Sail University, I wasn’t too sure what to expect. I figured that, by its name alone, we would discuss good vs. bad products and how to design a winner. Well, I had some of the idea right.
I did learn what good design is, but what I truly learned was how impactful the Lean Startup method is when it comes to brainstorming, creating and testing products. I learned that it’s more important to gather feedback and refine the solution your product provides, than it is to ensure everything is designed and developed perfectly. I also learned how innovation plays a role in this development and the need for a minimum viable product, or MVP, and how simple yet impactful they can be. Any ideas or notions that I initially had were definitely normalized, yet blown away at the same time.
Defining value for your product/service is my number 1 takeaway from this course. If you have no value, you have no customer and you have no business. Based on what I learned in this course about the importance of value, feedback and operating from curiosity, rather than knowing it all caused me to put my business out there and even gain a client. I will continue to apply these principles to my life coaching service and I’m excited to see how this will mold and shape my business.
Hiring the CTO
Startupper: Hello, I'm looking for a CTO
Developer: Ok, I'm a full stack developer, I probably can do what do you need.
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[The startupper tells his idea to the developer]
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D: Is your idea validated?
S: How should we do it?
D: Asking people, for example, if they'd pay for your service enough to make your business model work.
S: Ok, got it! Do you want to work with us?
D: Yes, but I won't start developing an idea that isn't validated.
S: Ok, we'll do it.
D: What about my compensation? Do you want to give me a salary?
S: We don't have money
D: Do you want to give me equity?
S: No, the idea is mine and my cofounder's, not yours.
D: How do you want to pay me?
S: Our project will be a success and you'll get exposure and a work in your portfolio
D: Delete my telephone number and forget me! Goodbye
Think, shape, and hypothesize before you build, measure, learn!
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
I’ve always been interested in entrepreneurship but I’ve sort of kept it only a very small part of my job because my blog already covers a variety of things consistently, market anarchy and guns primarily.
Should I start a separate blog on entrepreneurship?
By Daria and it is free to use. Click on photo to see it in full-size.
When Gabriel Straub first introduced me to Eric Ries’ book titled “The Lean Start-up”, I instantly knew that it should be applicable to the world of Data Science. However, translating the approach from the domain of a start-up business to that of a Data Science team or project was by no means obviou
