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