🎯 Free AI/ML Courses for Beginners 👇
1/ Free AI Courses (Great Learning)
https://www.mygreatlearning.com/ai/free-courses?utm_source=chatgpt.com
2/ AI Essentials (Google)
https://grow.google/ai-essentials/?utm_source=chatgpt.com
3/ AI for Beginners Curriculum (Microsoft)
https://microsoft.github.io/AI-For-Beginners/?utm_source=chatgpt.com
4/ Machine Learning Crash Course (Google)
https://developers.google.com/machine-learning/crash-course?utm_source=chatgpt.com
5/ AI for Students (IBM)
https://www.elementsofai.com/?utm_source=chatgpt.com
1/ Free AI Courses (Great Learning)
https://www.mygreatlearning.com/ai/free-courses?utm_source=chatgpt.com
2/ AI Essentials (Google)
https://grow.google/ai-essentials/?utm_source=chatgpt.com
3/ AI for Beginners Curriculum (Microsoft)
https://microsoft.github.io/AI-For-Beginners/?utm_source=chatgpt.com
4/ Machine Learning Crash Course (Google)
https://developers.google.com/machine-learning/crash-course?utm_source=chatgpt.com
5/ AI for Students (IBM)
https://www.elementsofai.com/?utm_source=chatgpt.com
Great Learning
Free Artificial Intelligence (AI) Courses Online with Certificates [2025]
Discover free AI Artificial Intelligence courses with certificates. these online courses cover key AI concepts and Perfect for beginners and tech enthusiasts.
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Forwarded from Pythonadvisor
Top 50 Data Analyst Interview Questions (2025) 🎯📊
1. What does a data analyst do?
2. Difference between data analyst, data scientist, and data engineer.
3. What are the key skills every data analyst must have?
4. Explain the data analysis process.
5. What is data wrangling or data cleaning?
6. How do you handle missing values?
7. What is the difference between structured and unstructured data?
8. How do you remove duplicates in a dataset?
9. What are the most common data types in Python or SQL?
10. What is the difference between INNER JOIN and LEFT JOIN?
11. Explain the concept of normalization in databases.
12. What are measures of central tendency?
13. What is standard deviation and why is it important?
14. Difference between variance and covariance.
15. What are outliers and how do you treat them?
16. What is hypothesis testing?
17. Explain p-value in simple terms.
18. What is correlation vs. causation?
19. How do you explain insights from a dashboard to non-technical stakeholders?
20. What tools do you use for data visualization?
21. Difference between Tableau and Power BI.
22. What is a pivot table?
23. How do you build a dashboard from scratch?
49. What do you do if data contradicts business intuition?
50. What are your favorite analytics tools and why?
🎓 Data Analyst Jobs:
https://whatsapp.com/channel/0029Vb6r6218kyyQgBDNjm26
💬 Tap ❤️ for the detailed answers!
1. What does a data analyst do?
2. Difference between data analyst, data scientist, and data engineer.
3. What are the key skills every data analyst must have?
4. Explain the data analysis process.
5. What is data wrangling or data cleaning?
6. How do you handle missing values?
7. What is the difference between structured and unstructured data?
8. How do you remove duplicates in a dataset?
9. What are the most common data types in Python or SQL?
10. What is the difference between INNER JOIN and LEFT JOIN?
11. Explain the concept of normalization in databases.
12. What are measures of central tendency?
13. What is standard deviation and why is it important?
14. Difference between variance and covariance.
15. What are outliers and how do you treat them?
16. What is hypothesis testing?
17. Explain p-value in simple terms.
18. What is correlation vs. causation?
19. How do you explain insights from a dashboard to non-technical stakeholders?
20. What tools do you use for data visualization?
21. Difference between Tableau and Power BI.
22. What is a pivot table?
23. How do you build a dashboard from scratch?
49. What do you do if data contradicts business intuition?
50. What are your favorite analytics tools and why?
🎓 Data Analyst Jobs:
https://whatsapp.com/channel/0029Vb6r6218kyyQgBDNjm26
💬 Tap ❤️ for the detailed answers!
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