Certificate in Python Programming
Master Python programming from fundamentals to advanced concepts for data analysis, automation, and software development
Curriculum
Python Introduction
▼
- What is a Programming Language?
- What is an IDE?
- IDEs for Python programming
- Introduction to Python programming language
- Why Python? Exploring its versatility and applications
- Advantages of Python for data analysis and visualization
- Scope of Python in various industries
- Python installation and setup
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.
Course Details
Duration
12 Weeks
Lessons
40
Level
Beginner to Intermediate
Certificate
Yes
Tools & Technologies
Python 3
Jupyter Notebook
NumPy
Pandas
Matplotlib
Seaborn
Regular Expressions
OOP Concepts
File Handling
Data Structures
Data Visualization
Exception Handling
Contact Us to Enroll
Call our enrollment advisor to register for the Python Programming course
+91 87141 94150





