🧠 “I Can’t Code” – Intern Crash Course on Using ChatGPT for Help
✋ First, Don’t Panic
You’re not expected to be a full-blown programmer. This entire Neural Engine project was built with AI, not by a single expert coder. What matters is your ability to think logically, ask questions, and iterate with ChatGPT. If you haven’t already accepted the invite, keep an eye on your inbox for a ChatGPT workspace invite. You’ll have a pro account with unlimited prompts and the power to do deep research.
You’ll learn the basics of syntax, structure, and R/Python usage by doing, and ChatGPT is your co-pilot every step of the way.
🔧 When You Get an Error, Do This:
Copy the full error message Paste it into ChatGPT and ask: “What does this error mean and how do I fix it?”
3. Example:
Error in py_call_impl(callable, call_args$unnamed, call_args$named) :
ValueError: Only input tensors may be passed as positional arguments...
Ask: “Why am I getting this keras error in R when building a model using keras3?”
4. Read the fix, try again, and keep iterating.
🪄 When You Don’t Know How to Write the Code
Ask ChatGPT:
“Write R code to do X using package Y”
Examples:
“Write R code to load JSON from Recharge API using httr” “Write R code to calculate whether a customer churned within 90 days using lubridate” Be as specific as possible about what you want.
📚 When You Need to Understand Code You’ve Been Given
Paste the code and say:
“Can you explain this line by line like I’m new to R?”
ChatGPT will break down each function and show what it does.
💬 When You Want to Refactor or Simplify Code
Ask:
“Can you simplify this for readability?”
“Can you rewrite this code using pipes?”
🛠️ When Something Doesn’t Work (But You’re Not Sure Why)
Ask:
“I ran this code and didn’t get the output I expected. Can you help me debug it?”
Then paste:
What you expected to happen
🧠 Pro Tips
Always mention you’re using R or keras3 — versioning matters. Be specific with package names (lubridate, keras3, etc.) If you’re working on training data, mention what your goal is (predict churn, classify subscribers, etc.) ChatGPT can’t see your screen, so give as much context as possible. 🔁 Repeat, Learn, Improve
The more you work through issues with ChatGPT:
The faster you’ll understand the code The better you’ll get at troubleshooting The more valuable you become as a data analyst who can actually build and deploy models
💡 Example Prompt That Works Well
“I’m building a churn prediction model in R using keras3 and Recharge data. I created a label column called churned_90d and I want to train a simple neural network to predict it. Can you walk me through the steps from cleaning to training?”
✅ Final Mindset: You’re Not Alone
Coding isn’t about memorizing syntax — it’s about solving problems.
You’re never stuck as long as you:
You’re here to learn fast and build faster — and ChatGPT is your built-in coding mentor.