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Practical Python for Time Series Analysis

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Master time series data manipulation, visualization, analysis and regression in Python (pandas, plotly and statsmodels) applied step by step to real-world data from FRED and EIA.

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Author: Jesus Lopez

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Level: Intermediate

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Duration: 4h 57m

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Topics: Time Series Analysis, Data Analytics, Python

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01. Introduction.zip

40.5 MB

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📱Practical Python for Time Series Analysis

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02. Join and Preprocess Time Series Data.zip

59.1 MB

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03. Groupby for Time Series Bar Charts.zip

37.8 MB

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04. Assignment Practice DataFramegroupby on New Data.zip

39.8 MB

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05. Pivot Table for Time Series Heat Matrix.zip

65.8 MB

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06. Temporal Resampling for Automated Aggregations.zip

24.6 MB

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07. Simple Linear Regression.zip

84.8 MB

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08. Assignment Practice Simple Linear Regression on New Data.zip

19.6 MB

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09. Regression with Categorical Variables.zip

50 MB

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10. Feature Engineering for Time Series.zip

70.6 MB

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11. Assignment Complete Time Series Regression Workflow.zip

22.6 MB

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