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About training for Data Analyst!?
How am I supposed to think when I'm learning how to code for Data Analyst career. I feel like I'm not absorbing the information needed and I'm just wasting my time. I have a Nuero disorder for memory. So it seems hard to know if I can train successfully. Please give me tips!
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Vianne’s Answer
You're not wasting your time, and feeling this way is more common than you think, especially in data and coding. Learning to code for data analysis isn't about memorizing everything. Even experts frequently look things up. The aim is to understand patterns and think through problems, not to know it all at once. If you have a neuro or memory-related disorder, you just need different strategies, not that you can't succeed.
When coding, focus on questions and steps, not just the syntax. Ask yourself, "What question am I trying to answer with this data?" and "What steps would a computer need to take?" Concentrate on concepts like filtering, grouping, or finding trends. Write things down and keep notes in your own words. Doing small, similar exercises repeatedly is more helpful than long study sessions. Short, regular practice is better than cramming.
Allow yourself to learn at your own pace and in your own way. Use real-world datasets that interest you so you have context to connect with. Copying and modifying example code isn't cheating; it's how most people learn. If you're interested in data analysis, you can definitely succeed, even if your journey looks different. Progress is about understanding a little more each week, not mastering everything instantly. Be patient with yourself.
When coding, focus on questions and steps, not just the syntax. Ask yourself, "What question am I trying to answer with this data?" and "What steps would a computer need to take?" Concentrate on concepts like filtering, grouping, or finding trends. Write things down and keep notes in your own words. Doing small, similar exercises repeatedly is more helpful than long study sessions. Short, regular practice is better than cramming.
Allow yourself to learn at your own pace and in your own way. Use real-world datasets that interest you so you have context to connect with. Copying and modifying example code isn't cheating; it's how most people learn. If you're interested in data analysis, you can definitely succeed, even if your journey looks different. Progress is about understanding a little more each week, not mastering everything instantly. Be patient with yourself.