This is particularly true in the realm of data analytics, since very few certificate programs require much real data work. It certainly doesn’t predict how effective someone will be at actually doing the job. Certifications Aren’t Good Predictors of Job Successįrom an employer’s perspective, a professional certificate means very little. The reason for this is pretty straightforward. You know what word never appears once in those 200 pages? Certification. In fact, I have almost 200 pages of interview transcripts with senior data scientists, hiring managers, and recruiters. And I asked them specifically what makes a good entry-level data analyst candidate. When I was doing research for Dataquest’s data science career guide, I spent a lot of time talking to people in the industry. Why Employers Don’t Care About Data Analytics Certificates But first, let’s explain why the certification itself won’t help you. In this article, we’re going to talk about different data analytics certificate programs and how to assess them. That’s because the certificate itself - the actual piece of paper and/or digital badge - is likely worth little to nothing. But it does mean that you need to think about your investment carefully. Now, that doesn’t mean that data analytics certification programs aren’t valuable. So, here it is: No, you do NOT need a certification to get a job as a data analyst. Heck, here at Dataquest, we have not only a data analytics course, but an entire Data Analyst career path that awards a certificate!īut the difference between us and all those other companies is that we deal in the truth. And guess what? They all want to convince you that you need their specific certificate program. Why? Because there are dozens of companies offering data analytics certificates online. And you’re not alone.Įven so, getting a straight answer about required certifications for data analysts is tricky. SeptemData Analytics Certifications: Do You Really Need One in 2023?ĭo I need a data analytics certificate? If you’re set on becoming a data analyst, you’ve no doubt asked yourself this question more than once.
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