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Course Outline
Module 1: Pandas Functions in DataFrame Work
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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 and removing columns and rows
- Modifying values within a DataFrame
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Data Aggregation and Grouping
- GroupBy
- Aggregation, summation, mean, etc.
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Merging and Concatenating DataFrames
- merge, join, concat
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Handling Missing Data
- Identifying missing data
- Methods for filling missing values
Module 2: Program Performance Optimization
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Introduction to Optimization
- The importance of optimization in programming
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Code Optimization
- Efficient data structures
- Avoiding redundant calculations
- Loop optimization
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Pandas Optimization
- Vectorizing operations
- Avoiding apply and lambda functions
- Working with large datasets
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Simplifying Code Through Function Creation
- Creating and utilizing functions
- Code refactoring
Module 3: Working with the NumPy Library
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Introduction to NumPy
- Importing the library
- Core Data Structure: ndarray
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Array Operations
- Creating and modifying arrays
- Array indexing and slicing
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Mathematical and Statistical Functions
- Basic mathematical operations
- Statistical and aggregating functions
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Linear Algebra
- Matrix multiplication
- Determinant, inverse matrix
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Working with Multidimensional Data
- 2D, 3D, and higher-dimensional arrays
- Array shape transformations
- 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 simple charts (line, bar, etc.)
- Chart formatting
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Generating Charts as Images (PNG)
- Using matplotlib for chart generation
- Saving charts as PNG files
- Advanced Excel Charts
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Report Automation
- Creating automated reports with charts
- Integrating Pandas with openpyxl/xlsxwriter
16 Hours