Sonam Bhagwani

Python Programming Classes by Sonam Bhagwani

by Sonam Bhagwani

Experience: 6 Yrs

This Python Programming with Data Analytics Course is a complete learning pathway for students who want to build strong...

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Course Mode:

Online

Duration:

3 months

Language:

English, Hindi

Location:

Solapur

Pricing:

On Call

Batch Type:

Weekdays and Weekend

Course Experience:

6 Years

Tutor Experience:

6 Years

Course Content

This Python Programming with Data Analytics Course is a complete learning pathway for students who want to build strong programming and problem-solving skills using Python. Designed and taught by Sonam Bhagwani, this online course helps learners progress from the absolute basics of Python to advanced, real-world applications including data analytics, data visualization, and mini-projects.

Python is one of the most in-demand programming languages in the world today. It is used in software development, artificial intelligence, automation, web development, and data science. This course has been thoughtfully structured so that students of different age groups can learn Python at the right pace and difficulty level.

Course Overview

The curriculum is divided age-wise and skill-wise so every learner receives the right level of challenge and guidance:

Ages 6–10: Python Basics & Logical Thinking

Younger learners are introduced to Python in a fun and interactive way. Using simple examples and the Python Turtle library, students learn the fundamentals of logic building, creative coding, shapes, patterns, and basic commands. The goal is to develop curiosity, confidence, and imagination through coding.

Ages 11–15: Core Python & Mini-Projects

Students begin learning core Python programming concepts such as:

  • Variables and data types

  • Conditional statements

  • Loops

  • Functions

  • Lists and dictionaries

  • Input/output handling

They also work on small coding projects to apply what they learn. This stage emphasizes problem-solving, structured thinking, and writing clean code.

Ages 16–20: Advanced Python & Data Analytics

Learners move into advanced Python concepts and are introduced to data analytics using powerful Python libraries including:

  • NumPy

  • Pandas

  • Matplotlib

Students learn data handling, data cleaning, data transformation, and data visualization through graphs and charts. These skills prepare them for fields such as data science, research, business analytics, and academic projects.


What Students Will Learn

Learners will gain knowledge and confidence in:

  • Python syntax and structure

  • Logic building & algorithmic thinking

  • Variables, functions, loops & conditions

  • Data handling with lists & dictionaries

  • File handling basics

  • Introduction to data analytics

  • Using NumPy & Pandas

  • Creating visualizations with Matplotlib

  • Real-world examples & practical projects


Teaching Method & Delivery

This course is delivered through online live classes, making it easily accessible to students worldwide. The teaching style is:

  • Beginner-friendly

  • Step-by-step

  • Practical & interactive

  • Activity-based learning

  • Project-oriented

Each student gets the chance to practise coding independently with guidance and feedback.


Why Learn from This Tutor?

Under the guidance of Sonam Bhagwani, students receive structured instruction, careful concept explanation, and supportive mentoring. The tutor focuses on clarity, real-world application, and confidence building, making programming understandable for learners of all ages.


Who Can Join This Course?

  • School students

  • College students

  • Beginners in programming

  • Students preparing for CS subjects (including A & AS Computer Science)

  • Anyone interested in coding or data analytics

No prior knowledge of coding is required.


Benefits & Outcomes

After completing this course, students will:

  • Gain strong coding fundamentals

  • Improve logical and analytical skills

  • Understand real-world problem-solving

  • Learn how data is stored, processed & visualized

  • Build mini-projects for learning portfolios

  • Develop confidence in Python programming

This course provides an excellent foundation for future careers in software development, AI, data science, automation, and analytics.

Skills

  • Python Programming
  • Python 3
  • Full Python
  • A and As Computer Science
  • Numpy, Pandas and Matplotlib

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What Students Are Saying

The instructor explained the concepts very clearly. I really enjoyed the course.

Amit Sharma

This course was very informative and helped me understand the topic better.

Priya Das

I liked the structure of the lessons and the examples used were very practical.

Rohan Mehta

FMG-2.0😎

SRV

Sonam Bhagwani

Sonam Bhagwani

Experience: 6 Yrs