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I need to know if I'm learning to code or not??
I'm currently doing a data analyst bootcamp and I don't know if I'm absorbing and learning how to clean and preprocess datasets, please tell me if all I have to do is practice until I feel like it came to me?
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Esteban’s Answer
One great way to challenge and grow your skills is by building something yourself. Start with a dataset that genuinely interests you (sports, books, movies, or anything else) and, explore it locally using the tools you’ve learned so far. Working with data you care about makes the process more engaging and helps reveal which areas you may want to strengthen.
As you explore, think of questions you’d like to answer about the data. Then focus on cleaning, transforming, and analyzing it until you can answer those questions. Along the way, take note of what feels difficult or unclear, and use that as a guide for what to practice next.
If you’re looking for inspiration, here’s a great place to find datasets to get started:
https://www.kaggle.com/datasets
As you explore, think of questions you’d like to answer about the data. Then focus on cleaning, transforming, and analyzing it until you can answer those questions. Along the way, take note of what feels difficult or unclear, and use that as a guide for what to practice next.
If you’re looking for inspiration, here’s a great place to find datasets to get started:
https://www.kaggle.com/datasets
Updated
Franco Ángel’s Answer
Hello Jimmy,
Why don't you try leveraging AI? Ask your chatbot of preferance to generate a sample dataset and to prepare a series of exercises you can practice with. After you are done with the problems compare your answers with the ones the AI generated and consciously evaluate how you did. Finally try writing your reflections of the problem and the train of thought you followed to solve the exercise since this activity improves your understanding of the topic.
Keep it up!
Why don't you try leveraging AI? Ask your chatbot of preferance to generate a sample dataset and to prepare a series of exercises you can practice with. After you are done with the problems compare your answers with the ones the AI generated and consciously evaluate how you did. Finally try writing your reflections of the problem and the train of thought you followed to solve the exercise since this activity improves your understanding of the topic.
Keep it up!
Updated
Rafael’s Answer
Hi Jimmy, the truth is that learning to code and clean data is a gradual process, and the fact that you're questioning whether you're absorbing the material actually shows self-awareness, which is a great sign of growth. The key is consistent, intentional practice, so work on real-world messy datasets, try solving problems without looking at your notes, and don't be afraid to make mistakes because that's where the real learning happens. Over time, things like handling missing values, fixing data types, and preprocessing will start to feel more natural and automatic, almost like muscle memory. You won't have one big "aha" moment, but instead you'll notice small wins, like writing a line of code without Googling it or looking at a messy dataset and instinctively knowing what to fix. So keep showing up, code a little every day, trust the process, and know that every data analyst once felt exactly the way you do right now. You're on the right track, just stay consistent!