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Build Your Minimum Viable Product (MVP) with The ‘Eisenhower Matrix’
Building a minimum viable product for your idea or startup can be a daunting project. There is just so much to do, and it's easy to lose focus on working on the important things. If you're wondering what a minimum viable product (MVP) is. An MVP is simply the most...
Giveaway #1 – 5 Best-Selling Data Science & Marketing Audiobooks
Today we're excited to announce our first giveaway at LEAD. We're giving away 5 best-selling data science & marketing audiobooks! We're planning to do giveaways every quarter, so that means you get 4 chances to win something in a year. You can join our first...
What is inside a data scientist toolbox?
This episode, we go deep in technical and learn from Edmund the tools, libraries, and framework that he uses for daily tasks. Also, we discuss why is data engineering important to a company? From a career point of view, we discussed how has being a generalist with...
How Can We Use Javascript in Data Science?
JavaScript, the most popular language for web development. Apart from that, can we use it for Data Science? In this blog post, I will share the use of JavaScript in my data scientist job and how you can use it to help you. My Background I have been actively...
How We Generated Over RM20,000 in Revenue Without A Product – in 5 Days
Armed with an idea, laptop, and a camera - this is a case study of how we generated RM20,000 revenue in a week, without a product that existed yet. Sure, it's not a big sum. In fact, I was initially reluctant to share this. But in the spirit to inspire starters who...
What Is It Like to Be a Data Scientist at Airasia?
In this episode, we have a special guest, Edmund Hee, senior data scientist from AirAsia. He was previously a software engineer at a couple of startups. The most notable one being WatchOverMe, a safety app that guides ladies with the safest route home. We are going...
Business Validation – Why Stop Asking What People Want?
Sometimes you have to drop the whole 'validation' thing and jump head-first into the market. Build a new product, an idea. Make sure it's filled with great value and offer it to the market. It may fail, it may thrive. But who knows? Sure, people with more experience...
The BIGGEST Misconceptions in Data Science
The easiest way to annoy a data scientist is to tell him that data science equals big data. - Dr. Lau Cher Han In this episode, Reuben and I go through the misconception questions that we collected from emails, Facebook inbox, live chat, social media, etc. We covered...
Can Non-Technical Individuals Break Into Data Science?
Welcome to the very first episode of the Cerebro by LEAD podcast. In this episode, we will look at the different types of requirements to begin a data science career. Data Science is for everyone. Even if you don't have a technical background, it's still possible for...
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