About This Course
Learn data analysis techniques using Python, focusing on libraries like NumPy, Matplotlib, and Pandas to derive insights from real-world datasets.
Key Learning Outcomes
Data Analysis
Apply data analysis techniques to real-world problems
Python Libraries
Use Python libraries for data analysis
Course Modules
Course Curriculum
A comprehensive learning path structured in modules
1Python Fundamentals for Data Analysis
Learning Python basics and programming concepts essential for data science
2Advanced Python Structures
Mastering dictionaries, functions, and packages for efficient data handling
3Statistical Analysis with NumPy
Analyzing numerical data and creating visualizations with Python libraries
4Data Processing with Pandas
Managing and transforming tabular data with the pandas library
5Data Analysis Projects
Applying analysis techniques to create actionable insights from real datasets
6Capstone Project
Developing a comprehensive data project from planning to presentation
Key Benefits
Data analysis expertise
Students will gain proficiency in data analysis using Python
Visualization skills
Students will learn to visualize data using Python libraries
Real-world experience
Students will work with actual datasets and problems