Python Pogramme

This Python course is designed to build a strong foundation in programming and data analysis using Python. It is ideal for beginners as well as professionals who want to use Python for data-driven decision-making and automation.

The course starts with Python fundamentals, including variables, data types, operators, conditional statements, loops, and functions. Students will then learn how to work with important data structures such as lists, tuples, dictionaries, and sets.

After building programming basics, the course focuses on data analysis using powerful libraries like Pandas and NumPy. Learners will understand how to clean, transform, filter, and analyze datasets efficiently. The course also covers data visualization using Matplotlib and Seaborn to present insights clearly.

Additional topics include file handling (CSV, Excel), basic web scraping, and automating repetitive tasks. Students will work on real-world datasets such as sales, marketing, and business data to gain practical experience.

By the end of the course, learners will be confident in writing Python programs, performing end-to-end data analysis, and applying Python skills to real-world projects and career opportunities in Data Analytics and Data Science.