Definition:
These are typical errors that new learners make, which slow progress or lead to frustration.

Detailed explanation of common mistakes & fixes:

• Trying to learn everything at once: Beginners try to learn many topics simultaneously. Fix: Make a clear roadmap and take one step at a time.

• Skipping projects: Watching videos without doing projects results in poor retention. Fix: Always practice with small projects.

• Neglecting maths and data basics: Ignoring math leads to misunderstanding algorithms. Fix: Learn core math concepts gradually.

• Over-reliance on tools: Using AI tools without understanding them can cause mistakes. Fix: Use tools for practice but study fundamentals too.

• Ignoring ethics: Failing to consider bias and privacy can cause harm in real-world projects. Fix: Add ethics to every project’s checklist.

Mini exercise:

• List your current study habits. Identify one bad habit and write a plan to fix it in the next week.

Summary (short):
Avoid trying to do everything at once, practice with projects, keep math basics, and always consider ethics.