Building a strong personal brand is your ticket to standing out from your competition in today's difficult job market. During this episode, you'll learn why and how you should build a personal brand to elevate your career. You'll hear from some of the biggest names in data: Kate Strachnyi, Founder of DATAcated, and Andreas Kretz, Founder of Learn Data Engineering. Kate and Andreas will share their best strategies, tips, and actionable advice to put you on a path to building a successful brand that will accelerate your career.   What You'll Learn: Why a personal brand is critical for success in 2025 and beyond What a strong personal brand should look like How you can start making progress on your personal brand today   This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b    

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SQL is one of the most widely used data analysis tools around, often discussed as a cornerstone for Data Analysis, Data Science, and Data Engineering careers. In this episode, Thais Cooke talks about how she leverages SQL in her role as a Data Analyst and shares practical tips you can use to take your SQL game to the next level. You'll leave the show with an insider's perspective on where SQL adds the most value, and where you should focus if you want to build SQL skills that will advance your career. What You'll Learn: What makes SQL such a valuable skill set for so many roles Some of the most valuable ways you can use SQL on the job Where you can focus if you want to build job-ready SQL skills   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Thais Cooke is a Data Analyst proficient in Excel, SQL, and Python with a background in Clinical Healthcare. SQL for Healthcare Professionals Course Follow Thais on LinkedIn  

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If you're working on or trying to break into a career in Data Science or Data Engineering, this one is for you. In this episode, Data Engineering expert and recovering Data Scientist Joe Reis shares some of his best tips and strategies for folks looking to launch or accelerate their data careers. You'll leave with practical and actionable advice that you can use to take your career to the next level.   What You'll Learn: Key differences between Analytics, Data Science, and Data Engineering The top skills and tools to focus on for each of these career paths How rapidly changing technology like AI is impacting the future of data jobs   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Joe Reis is a "recovering data scientist" and the co-founder & CEO of Ternary Data. Joe's newest course Fundamentals of Data Engineering Book Follow Joe on LinkedIn

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