Python Programming (With Internship Certificate , Mentor-Led Professional Training)

The Python Programming – Beginner to Intermediate course is a comprehensive, career-focused program designed to help learners master Python programming fundamentals, data handling, and real-world problem solving using industry-relevant tools and libraries.

This course starts with a solid introduction to Python features, applications, and environment setup, guiding learners through installing and using Anaconda, Jupyter Notebook, and Google Colab. Students quickly become comfortable with Python syntax, variables, arithmetic operations, and interactive coding environments.

As learners progress, they gain in-depth knowledge of Python data types and core data structures including lists, tuples, sets, and dictionaries. Practical sessions focus on indexing, slicing, updating data, and managing collections for real computation tasks.

The course emphasizes logic building using conditional statements, loops, and functions, enabling students to develop interactive programs such as ATM simulations and decision-based applications. Learners also gain hands-on experience with file handling, including reading, writing, appending, creating, and deleting files—skills essential for real-world Python development.

A major highlight of this course is its strong focus on data analysis and visualization. Learners are introduced to Pandas and NumPy for data manipulation, cleaning, handling missing values, and working with multi-dimensional arrays. Advanced modules cover Matplotlib and Seaborn, enabling students to create professional data visualizations including line graphs, scatter plots, statistical distributions, and 3D charts.

Each session is structured for maximum engagement and retention, including:

• Video lectures with subtitles

• Detailed notes for every lecture

• 10 quiz questions per lecture to reinforce learning outcomes

The course follows a self-paced yet mentor-led approach, allowing learners to study flexibly while receiving expert guidance when needed. Upon successful completion, students receive both a Course Completion Certificate and an Internship Completion Certificate, significantly enhancing employability.

This Python course prepares learners for careers in Software Development, Data Analysis, Machine Learning, Automation, and AI, making it ideal for students, freshers, and working professionals.

What You Will Learn

• Python programming from fundamentals to intermediate level

• Python data types and data structures

• Conditional logic, loops, and reusable functions

• File handling and user interaction

• Data analysis using Pandas and NumPy

• Data visualization with Matplotlib and Seaborn

• Real-world problem solving with Python

Learning Outcomes

By the end of this course, learners will be able to:

• Write clean and efficient Python programs

• Work confidently with lists, tuples, sets, and dictionaries

• Implement decision-making logic and loops

• Perform data cleaning and analysis

• Create meaningful data visualizations

• Apply Python to real-world and data-driven applications