PODCAST · technology
Data Career Series
by Data with Clarence
Data Career Series is a monthly interview series exploring what it really takes to build a successful career in data.Hosted by Clarence from Data with Clarence, each episode features conversations with Data Analysts, Engineers, Scientists, and industry leaders who share real-world insights on skills, certifications, interviews, career progression, and staying relevant in the age of AI.Whether you’re a student, career switcher, or early-stage professional, this series is designed to give you practical guidance, clarity, and direction for your journey into the data space.
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The Truth About Becoming a Data Analyst | Skills, CVs & Real Interview Advice. Ep 1
Welcome to the Data Career Series.In this first episode, we unpack what it really takes to become a Data Analyst in today’s market.We discuss:Whether you need a degree to work in dataSkills vs certifications — what actually mattersThe core tools every aspiring analyst should learn (Excel, SQL, Power BI, Python)What hiring managers look for in CVsCommon interview mistakes and how to prepareHow AI is changing the role of data professionalsThis conversation is designed for:• Students• Career switchers• Junior professionals• Anyone looking to break into data analyticsThe goal of this series is simple: to bring real industry insight to aspiring data professionals and help you make informed career decisions.New interviews will be released monthly.
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ABOUT THIS SHOW
Data Career Series is a monthly interview series exploring what it really takes to build a successful career in data.Hosted by Clarence from Data with Clarence, each episode features conversations with Data Analysts, Engineers, Scientists, and industry leaders who share real-world insights on skills, certifications, interviews, career progression, and staying relevant in the age of AI.Whether you’re a student, career switcher, or early-stage professional, this series is designed to give you practical guidance, clarity, and direction for your journey into the data space.
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Data with Clarence
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