Data Analysis practice
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1. Practice Data Analysis overview by building one step of a small real project feature and checking the result.
code-writing1. Start from the Data Analysis 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 Analysis setup by building one step of a small real project feature and checking the result.
code-fix1. Start from the Data Analysis 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 Analysis syntax by building one step of a small real project feature and checking the result.
output1. Start from the Data Analysis 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 Analysis examples by building one step of a small real project feature and checking the result.
fill-blank1. Start from the Data Analysis 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 Analysis workflow by building one step of a small real project feature and checking the result.
true-false1. Start from the Data Analysis 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 Analysis validation by building one step of a small real project feature and checking the result.
mini-project1. Start from the Data Analysis 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 Analysis debugging by building one step of a small real project feature and checking the result.
mcq1. Start from the Data Analysis 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 Analysis best practices by building one step of a small real project feature and checking the result.
code-writing1. Start from the Data Analysis 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 Analysis overview by building one step of a small real project feature and checking the result.
code-fix1. Start from the Data Analysis 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 Analysis setup by building one step of a small real project feature and checking the result.
output1. Start from the Data Analysis 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 Analysis syntax by building one step of a small real project feature and checking the result.
fill-blank1. Start from the Data Analysis 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 Analysis examples by building one step of a small real project feature and checking the result.
true-false1. Start from the Data Analysis 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 Analysis workflow by building one step of a small real project feature and checking the result.
mini-project1. Start from the Data Analysis 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 Analysis validation by building one step of a small real project feature and checking the result.
mcq1. Start from the Data Analysis 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 Analysis debugging by building one step of a small real project feature and checking the result.
code-writing1. Start from the Data Analysis 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 Analysis best practices by building one step of a small real project feature and checking the result.
code-fix1. Start from the Data Analysis 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 Analysis overview by building one step of a small real project feature and checking the result.
output1. Start from the Data Analysis 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 Analysis setup by building one step of a small real project feature and checking the result.
fill-blank1. Start from the Data Analysis setup lesson example.
2. Use sample input, output and edge cases instead of placeholder text.
3. Run the example and compare output before polishing.