Python Training Program

Course Objective

Equip learners with in-depth Python programming skills, including foundational concepts, advanced techniques, and real-world applications in domains like web development, data science, and automation

Here’s a detailed Python Training and Placement Program tailored by Aashtech EduCare. This program is designed to provide comprehensive knowledge of Python programming and its applications, ensuring participants are industry-ready with placement assistance.

Python Training Program Overview

Course Objective

Equip learners with in-depth Python programming skills, including foundational concepts, advanced techniques, and real-world applications in domains like web development, data science, and automation.

15-Module Python Training Curriculum

Module 1: Introduction to Python

• Overview of Python and its applications.
• Setting up the Python environment.
• Python syntax, keywords, and data types.

Module 2: Variables and Data Structures

• Variables and memory management.
• Strings, lists, tuples, sets, and dictionaries.
• Operations and methods for data manipulation.

Module 3: Control Flow and Loops

• Conditional statements (if, else, elif).
• Looping constructs (for, while).
• Comprehensions for efficient looping.

Module 4: Functions and Modules

• Defining and calling functions.
• Lambda functions and decorators.
• Importing and using modules and packages.

Module 5: File Handling

• Reading and writing files.
• Working with CSV, JSON, and Excel files.
• Error handling and exceptions in file operations.

Module 6: Object-Oriented Programming (OOP)

• Classes and objects.
• Encapsulation, inheritance, and polymorphism.
• Magic methods and operator overloading.

Module 7: Python Libraries and Frameworks

• Overview of popular libraries: NumPy, Pandas, Matplotlib.
• Introduction to Django and Flask for web development.
• Exploring tools for data analysis.

Module 8: Web Scraping

• Introduction to web scraping and its applications.
• Using BeautifulSoup and Scrapy.
• Handling APIs and parsing JSON.

Module 9: Databases with Python

• Connecting Python with SQL databases.
• CRUD operations using SQLite and MySQL.
• Introduction to NoSQL databases (e.g., MongoDB).

Module 10: Automation with Python

• Automating tasks using selenium and pyautogui.
• Building scripts for repetitive tasks.
• Scheduling tasks and handling workflows.

Module 11: Data Visualization

• Creating charts and graphs using Matplotlib and Seaborn.
• Interactive visualizations with Plotly and Dash.
• Real-world data visualization projects.

Module 12: Python for Data Science

• Data cleaning and preprocessing.
• Exploratory data analysis (EDA) using Pandas.
• Introduction to machine learning with Scikit-learn.

Module 13: Web Development with Python

• Setting up a basic web application with Flask.
• Building APIs and connecting front-end with back-end.
• Deploying Python-based web applications.

Module 14: Testing and Debugging

• Writing unit tests using unittest and pytest.
• Debugging Python programs.
• Best practices for error handling and logging.

Module 15: Capstone Project

• Developing a real-world project based on participant interest:
  1. Web Development: Create a blog or e-commerce site.
  2. Data Science: Analyze and visualize a dataset.
  3. Automation: Build a tool to automate a specific task.

Additional Features

Assignments and Case Studies

• Practical tasks aligned with each module.
• Real-world case studies to enhance problem-solving skills.
  • Example: Build a library management system.
  • Analyze and clean large datasets.

Capstone Project

• A guided, full-scale project integrating multiple skills.
• Mentorship from experienced trainers for project completion.

Testing and Certification

• Weekly module quizzes and practical assessments.
• Final certification based on capstone project and final test.

Placement Support by Aashtech EduCare

1. Resume and Portfolio Building:
   • Highlighting Python expertise and project experience.
2. Mock Interviews:
   • Focused on technical and scenario-based questions.
3. Job Placement Assistance:
   • Collaborations with IT companies, startups, and enterprises.
   • Job openings in roles like Python Developer, Data Analyst, or Automation Engineer.

This training ensures learners acquire comprehensive Python skills, opening doors to a bright career in tech industries. Would you like to discuss enrollment details or additional customization of the program?