This course introduces the fundamentals of Python programming within the context of data analysis. Aimed at beginners with little to no programming experience, it covers Python basics and quickly moves into practical data handling using libraries like Pandas and data visualization with Matplotlib. You will learn how to:
- Set up a Python development environment.
- Write basic Python scripts and understand programming logic.
- Perform data operations using Python.
- Create simple to intermediate data visualizations.
- Work with real-world datasets to extract meaningful insights.
By the end of the course, you will be able to independently analyze data using Python and present your findings through clear visualizations, setting a solid foundation for further studies or entry-level data analysis roles.
No, this course is designed for beginners.
Yes, it builds a solid foundation for further data science studies.
Requirements
- Basic understanding of programming concepts.
- Eagerness to learn data analysis through coding.
Features
- Comprehensive introduction to Python for data analysis.
- Step-by-step guides on setting up your Python environment.
- Real-world dataset exercises for practical learning.
Target audiences
- Aspiring data analysts.
- Beginners in programming looking to specialize in data.