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      $29.95

      Learn how to get a six-figure job in data science and analytics

      This is a practical, no-nonsense guide to getting a high-paying job in data science and analytics.

      If you follow these steps, you too can get that high-paying analytics job you always wanted. Why do I know this works? I was in your shoes, sending application after application, but never getting that “you’re hired!” call I wanted.

      So I changed my tactics.

      Not only did I get that data job of my dreams, I am now part of the hiring team at my company to grow our data science and analytics department. After going through the application process myself, and now reviewing and interviewing candidates interested in joining my team, I can tell you WHAT YOU NEED TO GET HIRED. 

      Think $29.95 is too expensive? 

      Companies are paying over $100,000 to fill these roles—so $29.95 is about what you’d make in THIRTY MINUTES. Don’t let another application, data task, or interview go to waste—let me show you how to make your resume and cover letter stand out, how to make your data task the “best one the team has ever seen,” and how to prepare for the inevitable interviews that will start coming your way. 

      All you have to do is just follow my steps. 

      Whether you are toiling away in management consulting, just got your masters or PhD, are mid-career in a job you hate, just finished a data science boot camp, or are some random analyst looking to jumpstart your career—THIS GUIDE IS FOR YOU. 

      When you purchase this you will receive a 22-page document that contains:

      • A proven strategy for obtaining the skills you need for a career in data science and analytics
      • A tried and tested template for crafting the perfect resume, cover letter, website, and GitHub
      • Tactics and tricks to prepare for and ace the behavioral and technical interviews as well as the pesky data challenges
      • Negotiation advice to make sure you don’t leave money on the table
      • Information and examples on the career trajectory for someone in data science and analytics

      Also--If for any reason you're unhappy with your purchase just let me know and you'll get a full refund. No questions asked.

      If you want to ask me anything, feel free to message me on LinkedIn or check out my website

      Still not convinced?

      When I first started applying, my strategy was complicated and ineffective: I'd apply to hundreds of jobs with a generic and crowded resume, get rejected from 99% of those jobs, and then botch whatever few interviews I did get.

      Through trial and error and my experience on the other side of the interview process, I developed a simple and effective strategy that involves how to craft a clear, interesting, and eye-catching resume/application, how to reach out to the hiring team and show genuine interest in the job opening, how to hone the skills you need to ace the nerve-racking technical interviews, and how to develop a narrative and prepare for the critical thinking and conversational interviews that trip up most candidates.

      Don't continue to waste your time sending out application after application without a purpose.

      Most candidates work incredibly hard and accumulate a bunch of really impressive technical skills--but for some reason neglect the parts of the application process that actually gets you hired. Writing an amazing resume is a skill. Interviewing well is a skill. Being able to demonstrate to a non-technical product manager that you can be a valuable member of the company is a skill.

      This guide is all about making sure you present the best possible version of yourself to recruiters and hiring managers and making sure you are as prepared as possible through every step of the interview process.

      Let's get you hired.

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      Purchasing Learn how to get a six-figure job in data science and analytics...

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      Your card will be charged US$29.95.

      Your rental will be available for 30 days. Once started, you’ll have 72 hours to watch it as much as you’d like!

      Thank you!

        Gumroad Library

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