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Duration 16 hours
Course Outline
Module 1: Pandas Functions for Working with DataFrames
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Introduction to Pandas
- Core data structures: Series and DataFrame
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DataFrame Operations
- Loading and saving data (CSV, Excel, etc.)
- Basic operations (selection, filtering, indexing)
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Data Modification
- Adding, removing, and modifying rows and columns
- Modifying values within a DataFrame
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Aggregation and Grouping Data
- GroupBy
- Aggregation, summing, averaging, etc.
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Joining and Merging DataFrames
- merge, join, concat
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Handling Missing Data
- Identifying missing values
- Techniques for imputing missing data
Module 2: Optimising Program Execution Time
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Introduction to Optimisation
- The importance of optimisation in programming
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Code Optimisation
- Efficient data structures
- Avoiding redundant calculations
- Loop optimisation
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Pandas Optimisation
- Vectorising operations
- Avoiding apply and lambda
- Working with large datasets
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Simplifying Code Through Function Creation
- Creating and using functions
- Refactoring code
Module 3: Working with the NumPy Library
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Introduction to NumPy
- Importing the library
- Core data structures: ndarray
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Array Operations
- Creating and modifying arrays
- Indexing and slicing arrays
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Mathematical and Statistical Functions
- Basic mathematical operations
- Statistical and aggregating functions
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Linear Algebra
- Matrix multiplication
- Determinants and inverse matrices
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Working with Multi-dimensional Data
- 2D, 3D, and higher-dimensional arrays
- Reshaping arrays
- Integration with Other Libraries
Module 4: Creating Charts in Excel Using Python
- Introduction to openpyxl and xlsxwriter
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Creating Charts in Excel
- Creating basic charts (line, bar, etc.)
- Formatting charts
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Generating Charts as Images (PNG)
- Using matplotlib to generate charts
- Saving charts as PNG files
- Advanced Charts in Excel
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Report Automation
- Creating automated reports with charts
- Integrating Pandas with openpyxl/xlsxwriter