Advanced Python for Data Science
Use Python's powerful libraries for data analysis, visualization, and machine learning with practical applications.
About This Course
This course provides a comprehensive introduction to the Python data science ecosystem, focusing on pandas, NumPy, Matplotlib, and scikit-learn. You'll learn how to clean and transform data, create compelling visualizations, build predictive models, and develop end-to-end data science workflows. Through hands-on projects and real-world datasets, you'll develop the skills needed for professional data analysis and machine learning applications.
What You'll Learn
Prerequisites
- Basic Python programming
- Familiarity with data concepts
Projects
Exploratory Data Analysis Project
Analyze a real-world dataset and create a comprehensive report
Predictive Modeling Competition
Build a machine learning model to solve a prediction challenge
Interactive Dashboard
Create an interactive data visualization dashboard
Part of Program
Data Science & Analytics
This course is part of a comprehensive program designed to build expertise in Data Science.
Course Information
This Course Includes:
- Video lectures by AI Twin professor
- Comprehensive course materials
- Interactive conversations with professor
- Module quizzes and assessments