This course is designed to provide comprehensive training in Python, covering its core concepts, libraries, and real-world applications. Whether you are a beginner or looking to enhance your programming skills, this course will equip you with the knowledge to build robust and scalable solutions.

Tools & Technologies Covered:

• Core Python
• Libraries: NumPy, Pandas, Matplotlib, Seaborn
• Frameworks: Flask/Django (Optional Advanced Topics)

Course Overview
This course will help you:

• Understand Python programming from basics to advanced concepts.
• Work with Python libraries to analyze and visualize data.
• Automate tasks and develop applications using Python.

Course Curriculum

Module 1: Python Basics

• Introduction to Python
  • What is Python?
  • Setting Up Python and IDEs (e.g., Jupyter, PyCharm)
• Python Syntax and Fundamentals
  • Variables and Data Types
  • Control Structures: If, Loops (for, while)
• Basic Data Structures
  • Lists, Tuples, Sets, and Dictionaries

Module 2: Intermediate Python

• Functions and Modules
  • Writing Custom Functions
  • Importing and Using Modules
• File Handling
  • Reading and Writing Files
  • Working with CSV and JSON Files
• Error and Exception Handling

Module 3: Python for Data Analysis

• Introduction to NumPy
  • Working with Arrays
  • Performing Mathematical Operations
• Data Manipulation with Pandas
  • DataFrames and Series
  • Data Cleaning and Transformation
• Data Visualization
  • Plotting with Matplotlib
  • Advanced Visualizations with Seaborn

Module 4: Automation with Python

• Automating Tasks with Scripts
• Web Scraping Basics (Using BeautifulSoup or Selenium)
• Working with APIs to Extract and Process Data

Module 5: Advanced Topics (Optional)

• Introduction to Flask/Django (Web Development)
  • Creating Basic Web Applications
  • Handling Requests and Responses
• Introduction to Machine Learning (Optional)
  • Using Scikit-learn for Data Modeling

Key Features:

• Hands-on Projects: Build Python scripts, data analysis tools, and mini-applications.
• Comprehensive Learning: From Python basics to advanced libraries.
• Certification: Earn a Python certificate upon successful completion.

Who Should Attend?

• Aspiring programmers and software developers.
• Data enthusiasts looking to work with Python for analytics.
• IT professionals seeking to automate tasks and processes.