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Archived
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01 - Course Overview\01 - Course Overview.mp4
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02 - Concatenating and Merging Data from Different Sources \02 - Course and Module Introduction.mp4
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02 - Concatenating and Merging Data from Different Sources \03 - Software and Course Prerequisites.mp4
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02 - Concatenating and Merging Data from Different Sources \04 - Concatenating Datasets.mp4
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02 - Concatenating and Merging Data from Different Sources \05 - Merging Datasets.mp4
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02 - Concatenating and Merging Data from Different Sources \06 - Merge Keys.mp4
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02 - Concatenating and Merging Data from Different Sources \07 - The How Parameter.mp4
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02 - Concatenating and Merging Data from Different Sources \08 - Demo - Disambiguating Merged Columns and Updating Dataframes.mp4
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02 - Concatenating and Merging Data from Different Sources \09 - Summary.mp4
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03 - Combining Data into Groups\10 - Module Introduction.mp4
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03 - Combining Data into Groups\11 - The GroupBy Function.mp4
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03 - Combining Data into Groups\12 - Demo - Why and How to Use the GroupBy Function.mp4
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03 - Combining Data into Groups\13 - Filter and Transform with GroupBy.mp4
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03 - Combining Data into Groups\14 - Demo - Grouping Multi-index Data.mp4
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04 - Normalizing Data with Pandas\15 - Module Introduction.mp4
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04 - Normalizing Data with Pandas\16 - Normalizing Data - What and Why.mp4
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04 - Normalizing Data with Pandas\17 - Simple Feature Scaling.mp4
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04 - Normalizing Data with Pandas\18 - Min-max Scaling.mp4
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04 - Normalizing Data with Pandas\19 - Z-score Normalization.mp4
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04 - Normalizing Data with Pandas\20 - Points to Consider for Data Normalization and Summary.mp4
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05 - Reshaping Data with Python\21 - Module Introduction.mp4
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05 - Reshaping Data with Python\22 - Introduction to Data Reshaping.mp4
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05 - Reshaping Data with Python\23 - Reshape Long Data to Wide Data with the Pivot Function.mp4
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05 - Reshaping Data with Python\24 - Reshape Wide Data to Long Using the Melt Function.mp4
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05 - Reshaping Data with Python\25 - Reshape Data Using the Stack and Unstack Functions.mp4
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05 - Reshaping Data with Python\26 - Reshaping and Aggregation with Pivot Table.mp4
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05 - Reshaping Data with Python\27 - Summary.mp4
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06 - Data Encoding with Python\28 - Module Introduction.mp4
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06 - Data Encoding with Python\29 - One-hot Encoding.mp4
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06 - Data Encoding with Python\30 - Demo - Convert Categorical Values Using One-hot Encoding.mp4
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06 - Data Encoding with Python\31 - Create Dummy Variables with Pandas.mp4
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06 - Data Encoding with Python\32 - Create Frequency Table with the Crosstab Function.mp4
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06 - Data Encoding with Python\33 - Summary and Feedback.mp4
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data-wrangling-python.zip |
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01 - Course Overview |
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02 - Concatenating and Merging Data from Different Sources |
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03 - Combining Data into Groups |
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04 - Normalizing Data with Pandas |
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05 - Reshaping Data with Python |
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06 - Data Encoding with Python |
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