If you still get anxious thinking about math quizzes and stay far away from numbers-heavy fields, then data analytics might seem way out of your comfort zone. But here’s the thing your math teachers probably never told you: You don’t have to be a math whiz or a “numbers person” to work with data.
Data analytics is all about the process of collecting and analyzing data for insights. A Data Analyst often works with numerical data and stats, but that doesn’t mean they’re doing complicated arithmetic in their head. “In fact, you’ll come to find that a lot of data science is situating numbers in their context,” explains Michelle McSweeney, a researcher who ran Codecademy’s data science curriculum for years. A Business Intelligence (BI) Data Analyst, for example, is someone who uses statistics and analytics to write reports and build dashboards that help organizations turn data into actionable insights.
In other words, a Data Analyst’s job is to figure out the story behind the numbers, and then use those numbers to answer questions. AI tools have taken over a chunk of the mechanical part of that job; an analyst can now ask a copilot to clean up a messy column or draft a first-pass SQL query. What’s left for the human is the part AI still can’t do on its…
Source: Codecademy Blog — Read the full article on the original site ↗