Certificate in Python Programming
Curriculum
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Python Introduction:
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Python Basics
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Understanding data types in Python
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Variable assignment and identifiers
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Dynamic typing in Python
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Type conversion and casting
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Best practices for naming identifiers
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Taking User Input
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Printing Output to Console
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Operators in Python
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Navigating through flow controls: Conditional Statements, Looping Statements and Jumping Statements
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String Manipulation and Formatting Techniques
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Built-in string methods for seamless text processing
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Defining and Calling Functions
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Parameters and Return Values
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File Operations: Read, Write and Append
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Modules and Packages in Python
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Advanced Python:
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Object-Oriented Programming (OOP): Classes, Objects, and Inheritance
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Diving into advanced OOP concepts: Polymorphism, Encapsulation, and Abstraction
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Lambda Functions: Anonymous Functions
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Map and Filter Functions
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List Comprehensions: Elegant Way of Creating Lists
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Pattern Matching with Regular Expressions
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Using Regex for String Manipulation
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Exception Handling in Python
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Data Analysis and Visualization with Python Libraries:
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Exploratory Data Analysis (EDA) Tools: NumPy, Pandas, Matplotlib and Seaborn NumPy arrays
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Exploring array operations, slicing, and broadcasting techniques
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Pandas: Your Data Manipulation Companion
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Mastering data structures like Series and DataFrames
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Joining data using Pandas
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Handling errors and missing values in data using Pandas
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Basic Plotting with Matplotlib
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Customizing Plots: Colors, Labels, Legends etc.
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Elevating visualizations with Seaborn’s rich statistical plotting functionalities
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Crafting visually appealing distribution plots, scatter plots, heatmaps etc.
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Python Introduction:
-
Python Basics
- Understanding data types in Python
- Variable assignment and identifiers
- Dynamic typing in Python
- Type conversion and casting
- Best practices for naming identifiers
- Taking User Input
- Printing Output to Console
- Operators in Python
- Navigating through flow controls: Conditional Statements, Looping Statements and Jumping Statements
- String Manipulation and Formatting Techniques
- Built-in string methods for seamless text processing
- Defining and Calling Functions
- Parameters and Return Values
- File Operations: Read, Write and Append
- Modules and Packages in Python
-
Advanced Python:
- Object-Oriented Programming (OOP): Classes, Objects, and Inheritance
- Diving into advanced OOP concepts: Polymorphism, Encapsulation, and Abstraction
- Lambda Functions: Anonymous Functions
- Map and Filter Functions
- List Comprehensions: Elegant Way of Creating Lists
- Pattern Matching with Regular Expressions
- Using Regex for String Manipulation
- Exception Handling in Python
-
Data Analysis and Visualization with Python Libraries:
- Exploratory Data Analysis (EDA) Tools: NumPy, Pandas, Matplotlib and Seaborn NumPy arrays
- Exploring array operations, slicing, and broadcasting techniques
- Pandas: Your Data Manipulation Companion
- Mastering data structures like Series and DataFrames
- Joining data using Pandas
- Handling errors and missing values in data using Pandas
- Basic Plotting with Matplotlib
- Customizing Plots: Colors, Labels, Legends etc.
- Elevating visualizations with Seaborn’s rich statistical plotting functionalities
- Crafting visually appealing distribution plots, scatter plots, heatmaps etc.
Overview
Certification
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Certification
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Feel Free to Speak With Our Executive
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