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In this course, you will :
- Understanding of pandas' broad capabilities for reading data from many sources.
- Working understanding of how to successfully manage various forms of data in pandas.
- Practical experience with data shape and manipulation techniques in pandas.
- The ability to use enhanced pandas libraries to perform advanced data handling and analysis.
- Familiarity with pandas' unusual but valuable features.
- Knowledge of efficiency-enhancing strategies.
Syllabus :
- Reading Data into pandas
- Combining Data
- Reshaping and Manipulating Data
- Encoding Data Types
- Handling Numerical Data
- Handling Categorical Data
- Handling Text Data
- Handling Time Series Data
- Handling Sparse Data Structures
- Handling Missing Data
- Leveraging Further Features of pandas
- Utilizing Extended Libraries
