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Dishing The Data

Weekly emails helping you land a job in data science or machine learning

Featured Post

You're never going to be ready

Hey Reader, The other day, a coaching client asked me: "When should I start applying for jobs, I still don't feel I have learned enough?" I get it. The last thing you want to be is sitting like a lemon when the interviewer asks you what linear regression is. Trust me. I've been there. Your hands go sweaty knees weak arms are heavy, you try to rattle your brain for an answer and you feel like a fraud. Maybe not Bernie Madoff running a $65 billion Ponzi scheme-level of fraud, but it's close...

Hey Reader, Let me cut to the chase. You clicked this email because you want to know the best resources for studying data science. Well, like Sergio Agüero scoring the last-minute winner against QPR in 2012 to win Man City their first-ever Premier League title, let me deliver. The amount of books, courses and guides on data science has exploded over the last few years. Some of them are good, and some of them are dogwater. So, how does a beginner decipher what is what? The truth is, there is...

Hey Reader, Let me be upfront with you. I have some correct controversial opinions: I don't think AI is "that" great, and it won't replace data scientists Logistic regression is a regression, not a classification algorithm Lord of the Rings is absolute dogwater (and yes, I have read the books) There is one more view that I have (don't worry, it's not LOTR-related for you die-hards here). I don't see why people care more about their Instagram profile than their LinkedIn page. Think about it...

Hey Reader I am going to be honest with you. Most resumes suck. I've reviewed well over 100 resumes at this point, and it still surprises me how very intelligent people really struggle to craft a decent one. No matter how good your grades are, or how many internships you had or even if you created a robot dog that can walk up walls, none of it matters if your resume is dogwater (pardon the pun). I want to tell you the one most important thing candidates don't do, but it's something recruiters...

Hey Reader Most people think that after you have applied for a job, your work is finished. Time to kick up your feet and have a lovely Gail's coffee (or Starbucks if you hate yourself) while you wait for a response on your application. Oh boy, do I wish life were so easy. If you are doing what everyone else does, you are going to get the same results: very few interviews. So what else should you do? After you have submitted your application, find the hiring manager, talent partner, or...

Hey Reader, Let's talk projects. These beauties are essential for landing interviews if you lack real-world experience. But, I am begging you, stop asking me for exact project ideas. This is not because I don't want to help you, but any project I suggest to you will immediately be a "bad" project. Let me explain. I have interviewed dozens of candidates at this point, and the projects that stand out are the deeply personal ones. The reason this works is that there is some "romanticism" to...

Hey Reader, This feels weird. This is the first email I've sent since I paused this newsletter back in May. A few things have happened since then: I hit 50k YouTube subs! I created an advanced time series forecasting course. I hired a virtual assistant. I split the "G" on a pint of Guinness on my first attempt (see picture at the bottom). Recently, I have been doing several calls with a couple of you to learn more about the issues you are facing in data science and machine learning. I am...