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Data-Science-Learning-Path
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Grade
Name
Complexity
Churn
Issues
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Data Scientist Career Path\7. Summary Statistics\8. Associations between Variables\2. Two Quantitative\4. correlation.py
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Data Scientist Career Path\14. SQL for Interview Prep\1. Aggregate\2. Challenge\2.sql
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Data Scientist Career Path\7. Summary Statistics\8. Associations between Variables\2. Two Quantitative\6. review.py
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Data Scientist Career Path\3. Python Fundamentals\5. Python List\3. Working with List\6. list slice 1.py
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Data Scientist Career Path\7. Summary Statistics\8. Associations between Variables\3. Two Categorical\2. frequency.py
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Data Scientist Career Path\10. Natural Language Processing\3. Bag of Word\1. bag.py
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Data Scientist Career Path\7. Summary Statistics\8. Associations between Variables\3. Two Categorical\4. marginal.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\7. Summary Statistics\8. Associations between Variables\3. Two Categorical\6. chisquare.py
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Data Scientist Career Path\14. SQL for Interview Prep\1. Aggregate\2. Challenge\4.sql
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Data Scientist Career Path\9. Data Visualization\2. Seaborn\1. Introduction\2. pandas.py
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Data Scientist Career Path\9. Data Visualization\2. Seaborn\1. Introduction\1. intro.py
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Data Scientist Career Path\9. Data Visualization\1. Matplotlib\1. Line Graphs\11. figure.py
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Data Scientist Career Path\9. Data Visualization\1. Matplotlib\1. Line Graphs\1. intro.py
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Data Scientist Career Path\8. Hypothesis Testing\1. Testing a Sample Statistics\2. Binomial Test\3. randomness.py
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Data Scientist Career Path\8. Hypothesis Testing\1. Testing a Sample Statistics\2. Binomial Test\1. intro.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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