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Craft your Attention-Grabbing Resumé for a Career Change into Data, Tech, and AI

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Craft your Attention-Grabbing Resumé for a Career Change into Data, Tech, and AI

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About Craft your Attention-Grabbing Resumé for a Career Change into Data, Tech, and AI

Introduction to Top Tier Tech Resumés

Class Project

What makes a good CV?

Where to find Resume Templates

Structuring your data CV

Executive Summary

Professional Experience Section

Education Section

Project Experience Section

[Work Session] Craft actionable Resumé bullet points

Filling the Skill Gap

Conclusion

What You Will Learn?

  • Are you looking to transition into a career in data science but unsure how to showcase your skills on your resume?.
  • This class is designed for professionals who have important tech skills but need help translating them into the "tech lingo" needed to land a data science job..
  • Changing careers can be overwhelming, but many people don't realize how much relevant experience they already have. This class will help you identify and highlight your transferable skills on your resume, making it more appealing to potential employers in the data field. Whether you're interested in data science, data engineering, business analytics, data analytics, or machine learning, this class will provide valuable advice for all of these areas..
  • As a bonus, this class also comes with a free mini e-book, "Craft Great Resumé Points for Data Jobs" that will guide you through the structure and tips for each section of your resume, including:.
  • We'll also cover key skills you need to add to your skill set in addition to the knowledge and data skills you already have. By the end of this class, you will have a polished resume that will help you stand out from the competition and land your dream job in the data field. Enrol now and take the first step towards your career transition!.
  • The project section contains the e-book "Craft Great Resumé Points for Data Jobs".
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  • Who am I?.
  • Jesper Dramsch is a machine learning researcher working between physical data and deep learning..
  • I am trained as a geophysicist and shifted into Python programming, data science and machine learning research during work towards a PhD. During that time I created educational notebooks on the machine learning contest website Kaggle (part of Alphabet/Google) and reached rank 81 worldwide. My top notebook has been viewed over 64,000 times at this point. Additionally, I have taught Python, machine learning and data science across the world in companies including Shell, the UK government, universities and several mid-sized companies. As a little pick-me-up in 2020, I have finished the IBM Data Science certification in under 48h..
  • -----------------------------------------Other Useful Links:.
  • My website & blog - https://dramsch.netThe weekly newsletter - https://dramsch.net.
  • ewsletter.
  • Twitter - https://www.dramsch.net/twitterLinkedin - https://www.dramsch.net/linkedinYoutube - https://www.dramsch.net/youtube.
  • Camera gear - https://www.dramsch.net/r/gear.