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Data Wrangling With Python
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About This Course
Course Introduction
Introduction to Data Wrangling
Data Wrangling
Applications of Data Wrangling
How to Apply Data Wrangling
Quiz Yourself: Introduction to Data Wrangling
Reading Data
Loading a CSV Dataset From a URL
Loading an Excel Dataset into a DataFrame
Loading a Dataset Locally
Coding Challenges on Reading Data
Quiz Yourself: Reading Data
Standardization
Fixing the Columns
Data Type Conversion
String Conversion
Coding Challenges on Standardization
Quiz Yourself: Standardization
Syntax Errors and Irrelevant Data
Spelling Mistakes and Typos
Leading and Trailing Spaces
Handling Irrelevant Data
Coding Challenges on Syntax Errors and Irrelevant Data
Quiz Yourself: Syntax Errors and Irrelevant Data
Duplicate and Missing Data
Duplicate Data
Handling Duplicate Data
Missing Data
Handling Missing Data
Coding Challenges on Duplicate and Missing Data
Quiz Yourself: Duplicate and Missing Data
Filtering and Sorting
Filtering
Performing Filtering
Sorting
Performing Sorting
Coding Challenges on Filtering and Sorting
Quiz Yourself: Filtering and Sorting
Splitting, Combining, and Merging
Splitting a Column
Joining Columns
Merging DataFrames
Coding Challenges on Splitting, Combining, and Merging
Quiz Yourself: Splitting, Combining, and Merging
Handling Outliers
Outliers
Advanced Outlier Detection Methods
Handling Outliers
Coding Challenge on Handling Outliers
Quiz Yourself: Handling Outliers
Exporting Data
Exporting to a CSV File
Exporting to an Excel File
Coding Challenge on Exporting Data
Quiz Yourself: Exporting Data
Mini Project
Humanitarian Aid Project
Conclusion
Course Summary
Splitting a Column
Learn how to split columns using Python.
We'll cover the following
Introduction
Splitting a single column
Splitting a column with multiple values
Excluding records with missing values
Introduction
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