Data Cleaning practice
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1. Practice Data Cleaning overview by building one step of a small real project feature and checking the result.
code-writing1. Start from the Data Cleaning overview lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
2. Practice Data Cleaning setup by building one step of a small real project feature and checking the result.
code-fix1. Start from the Data Cleaning setup lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
3. Practice Data Cleaning syntax by building one step of a small real project feature and checking the result.
output1. Start from the Data Cleaning syntax lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
4. Practice Data Cleaning examples by building one step of a small real project feature and checking the result.
fill-blank1. Start from the Data Cleaning examples lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
5. Practice Data Cleaning workflow by building one step of a small real project feature and checking the result.
true-false1. Start from the Data Cleaning workflow lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
6. Practice Data Cleaning validation by building one step of a small real project feature and checking the result.
mini-project1. Start from the Data Cleaning validation lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
7. Practice Data Cleaning debugging by building one step of a small real project feature and checking the result.
mcq1. Start from the Data Cleaning debugging lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
8. Practice Data Cleaning best practices by building one step of a small real project feature and checking the result.
code-writing1. Start from the Data Cleaning best practices lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
9. Practice Data Cleaning overview by building one step of a small real project feature and checking the result.
code-fix1. Start from the Data Cleaning overview lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
10. Practice Data Cleaning setup by building one step of a small real project feature and checking the result.
output1. Start from the Data Cleaning setup lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
11. Practice Data Cleaning syntax by building one step of a small real project feature and checking the result.
fill-blank1. Start from the Data Cleaning syntax lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
12. Practice Data Cleaning examples by building one step of a small real project feature and checking the result.
true-false1. Start from the Data Cleaning examples lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
13. Practice Data Cleaning workflow by building one step of a small real project feature and checking the result.
mini-project1. Start from the Data Cleaning workflow lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
14. Practice Data Cleaning validation by building one step of a small real project feature and checking the result.
mcq1. Start from the Data Cleaning validation lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
15. Practice Data Cleaning debugging by building one step of a small real project feature and checking the result.
code-writing1. Start from the Data Cleaning debugging lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
16. Practice Data Cleaning best practices by building one step of a small real project feature and checking the result.
code-fix1. Start from the Data Cleaning best practices lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
17. Practice Data Cleaning overview by building one step of a small real project feature and checking the result.
output1. Start from the Data Cleaning overview lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.
18. Practice Data Cleaning setup by building one step of a small real project feature and checking the result.
fill-blank1. Start from the Data Cleaning setup lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.