Python is one of the most widely used programming languages for data analysis, automation, and software development. This course is designed for beginners who want to build a strong programming foundation and apply Python to data processing tasks.
Learners will start by understanding Python syntax, working with variables, loops, and functions. The course then explores how to gather, clean, and manipulate data using Python’s built-in features and popular libraries. Through hands-on projects, participants will learn to analyze datasets, create visualizations, and extract meaningful insights.
By the end of this course, learners will be able to write Python programs, automate tasks, and perform basic data analysis, making it a perfect starting point for further exploration in data science and programming.
Sections Included:
- Introduction to Python Programming – Understanding Python syntax, variables, and data types.
- Control Structures and Functions – Implementing loops, conditionals, and reusable functions.
- Working with Data Structures – Exploring lists, dictionaries, and tuples for efficient data handling.
- Data Collection and Cleaning – Gathering data from files, handling missing values, and formatting datasets.
- Data Analysis with Python – Summarizing, filtering, and organizing datasets for meaningful insights.
- Data Visualization Techniques – Creating charts and graphs using Python libraries.
- Hands-on Python Projects – Applying learned concepts to real-world data processing and analysis tasks.
Benefits Upon Completion:
- Develop a strong foundation in Python programming.
- Learn to gather, clean, and analyze data efficiently.
- Build hands-on experience with real-world datasets.
- Gain skills applicable to automation and data science.
- Enhance problem-solving abilities through coding exercises.
