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Data-Science-Learning-Path
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Grade
Name
Complexity
Churn
Issues
A
Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\2. Challenge\2. square root.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\3. inner 2.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\11. review.py
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Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\2. Challenge\4. average.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\5. specific.py
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Data Scientist Career Path\12. Foundations of Machine Learning Unsupervised Learning\1. KMeans\10. evaluation.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\7. mismatched.py
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Data Scientist Career Path\3. Python Fundamentals\2. Python Functions\3. Challenge (Advanced)\1. first three multiples.py
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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\9. left right.py
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Data Scientist Career Path\11. Foundations of Machine Learning Supervised Learning\3. Multiple\8. evaluate.py
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Data Scientist Career Path\7. Summary Statistics\5. Quartiles, Quantiles, Interquartile Range\2. Quantiles\4. common.py
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Data Scientist Career Path\7. Summary Statistics\5. Quartiles, Quantiles, Interquartile Range\2. Quantiles\3. many.py
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Data Scientist Career Path\7. Summary Statistics\3. Variance n Standard Deviation\1. Variance\6. review.py
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Data Scientist Career Path\7. Summary Statistics\3. Variance n Standard Deviation\1. Variance\4. square.py
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Data Scientist Career Path\6. Data Wrangling and Tidying\1. Clean Data with Python\8. type.py
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Data Scientist Career Path\6. Data Wrangling and Tidying\1. Clean Data with Python\3. multiple.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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Data Scientist Career Path\5. Data Manipulation with Pandas\4. Multiple Tables in Pandas\2. inner.py
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