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Data-Science-Learning-Path
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Grade
Name
Complexity
Churn
Issues
A
Data Scientist Career Path\14. SQL for Interview Prep\1. Aggregate\1. Aggregate\3. sum.sql
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\1. Intro to List\2. list contain.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\5. Challenge (Advanced)\1. every 3 number.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\1. Intro to List\4. list method.py
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Data Scientist Career Path\14. SQL for Interview Prep\1. Aggregate\1. Aggregate\5. avg.sql
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\1. Intro to List\6. list plus.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\5. Challenge (Advanced)\2. remove middle.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\1. Intro to List\8. list access negative.py
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Data Scientist Career Path\14. SQL for Interview Prep\1. Aggregate\1. Aggregate\7. group1.sql
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\2. Combined with ZIP Function\list with zip function.py
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Data Scientist Career Path\10. Natural Language Processing\2. Text Processing\8. review.py
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Data Scientist Career Path\3. Python Fundamentals\7. Python Strings\1. Intro to String\5. string slice more.py
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Data Scientist Career Path\3. Python Fundamentals\7. Python Strings\1. Intro to String\4. string concatenate.py
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Data Scientist Career Path\3. Python Fundamentals\6. Python Loop\2. List Comprehension Code Challenge\13. greater than.py
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Data Scientist Career Path\3. Python Fundamentals\6. Python Loop\2. List Comprehension Code Challenge\11. greater than 2.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\3. Working with List\8. list count.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\3. Working with List\3. list range.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\3. Multiple\7. correlation.py
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Data Scientist Career Path\12. Foundations of Machine Learning Unsupervised Learning\1. KMeans\1. iris.py
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Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\2. Challenge\3. win percentage.py
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