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1. Learn new skills step by step
Teach me Python from scratch. Break it into daily steps. Add examples. Assume I know nothing.
2. Practice interview questions
Act as an interviewer for a data analyst role. Ask me SQL questions one by one. Give feedback after each answer.
3. Debug code with dummy data
Here is sample code with fake data. Find errors and explain fixes. Do not optimize yet.
4. Rewrite resumes and emails
Rewrite my resume bullets for a data analyst role. Keep it concise. Focus on impact. No buzzwords.
5. Summarize public articles
Summarize this public blog in 5 bullets. Focus on key takeaways and examples.
6. Create study plans and roadmaps
Create a 30-day SQL study plan. Daily tasks. Practice included. Beginner friendly.
7. Brainstorm content ideas
Give me 20 LinkedIn post ideas for data analytics beginners. Practical topics only.
8. Explain concepts in simple terms
Explain joins in SQL like I am new. Use a simple table example.
9. Draft outlines before final work
Create an outline for a Medium article on Power BI dashboards. Logical flow. Bullet points.
10. Compare tools or frameworks
Compare Tableau vs Power BI for a data analyst. Use a table. Include learning curve and job demand.
11. Learn faster from mistakes
I got this SQL query wrong. Here is my query and the correct one. Explain where my thinking failed.
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