Brian Graves
@NewPrediction
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Data professional w/ 15+ years exp. I write about SQL, Tableau, Excel, & Python to help data analysts earn more in their careers, side hustles, and freelancing.
Weekly data analytics email ⇢
Joined November 2015
SQL can be tricky: - just getting started - moving beyond the basics - debugging slow-running queries What's your #1 challenge? I'm working on something new to help analysts solve SQL pain points quickly... Want in? 👇
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SQL can be tricky: - just getting started - moving beyond the basics - debugging slow-running queries What's your #1 challenge? I'm working on something new to help analysts solve SQL pain points quickly... Want in? 👇
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Take this 2-minute survey to help shape what I create. If you leave your email, I'll share tips based on the responses (no spam -- pinky promise) Here's the survey:
tally.so
Made with Tally, the simplest way to create forms.
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Just 42 days left before TC24 starts 🤯 To catch up with your #DataFam friends, don't forget to submit your details https://t.co/BGBqmOPWAu and check out who else is going https://t.co/E7La9nSOW0 it's going to be HUGE!
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most insightful post on a data analytics portfolio ever 🔥
How to generate dozens of data analytics portfolio project ideas in 30 minutes – even if you've been through free coding programs but feel like they lacked how to actually create a project that will get you hired. [THREAD]
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Interested in mastering the fundamentals of SQL? Over the next 30 days, I'm learning to solve real-world digital marketing problems alongside other data professionals with @NewPrediction Check it out! ⤵️🚀 https://t.co/bK7JyYUvXu
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Every week, I send one SUPER SPECIFIC guide to help you level up your data career. It's part of my FREE weekly newsletter, Starting with Data. It's my way of giving back and helping others. And people love it! Sign up to get the interview questions: ⤵️ https://t.co/3nDKYugUkA
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I've been working in the data industry for 15+ years now. And I wanted to create some SQL interview questions: - focused on solving real-world problems - from beginner to advanced - including interactive code Tomorrow morning, I'm sending them to my 2,500+ email subscribers:
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When you're just starting your data career, the interviewing phase sucks. That's what I used to think before I boosted my confidence by working through SQL interview questions. The problem? Finding high-quality questions relating to real-world problems. Here's what I did:
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If you liked this, you'll probably enjoy my weekly newsletter, Starting with Data. Every Saturday, I share one actionable data analytics tip with 2,500 data professionals. Join now (free): ⤵️
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If you want to... • earn a high salary • have a long-lasting career • work from anywhere in the world • write so people want to read your stuff ...then share and bookmark this thread so you don't lose track. Here's the first tweet so you share it:
Data analytics is the ultimate career choice if you want to earn a high salary and work from anywhere. I thank my lucky stars that I made the jump 15+ years ago and have stuck with it for all these years. 4 simple steps I'd take if I were starting today: ⤵️
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Tired of your clients (or your boss) ignoring your work? The solution is to write better. Here are 3 simple steps you can start doing today: https://t.co/XkkLb8SSeR
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If you want to build in public and share your work online (like I'm suggesting here) then you have to learn how to write about your data projects. Start here ⤵️ https://t.co/XJMilzMebT
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Because now you need to have both tech skills AND soft skills: Like these: • Collaboration • Critical thinking • Communication • Problem-solving These soft skills all require you to be able to write well. Here's how you do it:
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🟢 Step 4: Learn How To Write Well This last step is the most important because it brings Steps 1-3 together. You might think that all you need is technical skills and recruiters will come knocking on your door. That might have been true in the past, but not anymore. Why?
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Looking to build your portfolio site for free? Forget the overcomplicated options like GitHub and Kaggle. Instead, build and host an AWESOME-looking portfolio - without paying a penny. Here's the step-by-step process for you: ⤵️ https://t.co/m9hnFcJbki
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Are you having trouble getting started with your projects? Check out these 6 online communities for inspiration: ⤵️ https://t.co/UdBeV3Cz5G
Including Tableau projects in your data analytics portfolio sets you apart during interviews. Fortunately, there are online communities to help you create attention-grabbing projects that look great in your portfolio. Use these 6 websites to fast-track your portfolio today! ⤵
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If you love working with data, I wrote The Data Analytics Portfolio Playbook to help your career: • Based on my 15 years experience • Create your portfolio in 14-days • Get attention from employers • Build once – use it for years! Get your copy: https://t.co/0bNd8eeuzi
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🟢 Step 3: Create An Online Portfolio Having an online data analytics portfolio sets you apart from the crowd. It works for you 24x7 so that recruiters can see your work. And they don’t have to be complicated. You can create a no-code portfolio, for free, at no cost.
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When you share your journey by building in public: 1. You learn more 2. You help others What's not to love? You don’t have to be an "expert" to share what you learn online. In fact, it'll help you get attention from potential employers as you work towards Step #3:
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