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Data-Science-Learning-Path
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Grade
Name
Complexity
Churn
Issues
A
Data Scientist Career Path\7. Summary Statistics\6. Summary Statistics for Categorical Data\5. spread.py
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Data Scientist Career Path\8. Hypothesis Testing\3. Experimental Design\1. A B Testing\2. minimum.py
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Data Scientist Career Path\7. Summary Statistics\6. Summary Statistics for Categorical Data\7. miss.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\7. Summary Statistics\6. Summary Statistics for Categorical Data\9. review.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\7. Summary Statistics\7. Visualizing Categorical Data\1. Bar\2. seaborn.py
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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\7. Summary Statistics\7. Visualizing Categorical Data\2. Pie\1. matplotlib.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\9. Data Visualization\1. Matplotlib\1. Line Graphs\7. subplot.py
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Data Scientist Career Path\9. Data Visualization\1. Matplotlib\1. Line Graphs\6. label.py
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Data Scientist Career Path\8. Hypothesis Testing\1. Testing a Sample Statistics\3. Significance Tresholds\3. error.py
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Data Scientist Career Path\8. Hypothesis Testing\1. Testing a Sample Statistics\3. Significance Tresholds\1. intro.py
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Data Scientist Career Path\7. Summary Statistics\8. Associations between Variables\2. Two Quantitative\2. scatter.py
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Data Scientist Career Path\7. Summary Statistics\8. Associations between Variables\1. Quantitative and Categorical\3. side.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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