Python Programming & Data Science with Python Course by Kajal Sharma

The Python Programming & Data Science with Python course by Kajal Sharma is designed for beginners and intermediate learners who want to build a strong foundation in Python and develop practical data analysis skills.

This online program focuses on core Python concepts along with essential data science libraries such as NumPy, Pandas, and Matplotlib. The course blends theory with hands-on projects to ensure students gain real-world experience and become job-ready.

Whether you are a student, working professional, or career switcher, this course provides structured learning to help you confidently work with Python in data-driven environments.

What Students Will Learn

Core Python Programming

• Python fundamentals and syntax
• Variables, data types, and operators
• Conditional statements (if, elif, else)
• Loops (for, while)
• Functions and reusable code
• Lists, tuples, dictionaries, and sets
• Basic error handling
• File handling basics

Data Science with Python

• Introduction to Data Science concepts
• Working with datasets
• Data cleaning and preprocessing
• Exploratory Data Analysis (EDA)
• Data manipulation using Pandas
• Numerical computing with NumPy
• Data visualization using Matplotlib

Practical Projects

• Real-world mini projects
• Data analysis case studies
• Visualization dashboards using Python
• Step-by-step coding practice

Projects are designed to strengthen logical thinking, analytical skills, and problem-solving ability.

Teaching Method

The course is delivered through interactive online sessions.

• Concept-based explanations
• Live coding demonstrations
• Hands-on assignments
• Real-world examples
• Doubt-clearing sessions
• Practice exercises after each module

Students receive guided support to build confidence in writing and understanding Python code.

Who This Course Is For

• Beginners starting their coding journey
• Students interested in Data Science
• Professionals upgrading Python skills
• Learners preparing for tech roles
• Anyone who wants job-ready Python skills

Course Benefits

• Strong foundation in Core Python
• Practical exposure to NumPy, Pandas, and Matplotlib
• Understanding of Data Science workflow
• Hands-on project experience
• Improved logical and analytical thinking
• Preparation for entry-level data-related roles

By the end of this course, students will be able to write Python programs independently, analyze datasets, and create visualizations confidently.