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Course Outline
Module 1: Pandas Functions for Data Frame Work
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Introduction to Pandas
- Fundamental 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, averages, etc.
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Combining and Merging DataFrames
- merge, join, concat
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Handling Missing Data
- Identifying missing data
- Techniques for imputing missing data
Module 2: Program Runtime 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 using functions
- Code refactoring
Module 3: Working with the NumPy Library
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Introduction to NumPy
- Importing the library
- Fundamental 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 aggregation functions
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Linear Algebra
- Matrix multiplication
- Determinant, inverse matrix
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Multidimensional Data Handling
- 2D, 3D, and higher-dimensional arrays
- Array shape transformations
- Integration with Other Libraries
Module 4: Creating Excel Charts with Python
- Introduction to openpyxl and xlsxwriter
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Creating Excel Charts
- Creating simple charts (line, bar, etc.)
- Chart formatting
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Generating Charts as Images (PNG)
- Using matplotlib to generate charts
- 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