Data Science 30-Day Study Roadmap

Week 1: Foundations of Data Science

• Day 1-2: Introduction to Data Science
• Day 3-5: Basics of Python Programming
• Day 6-7: Introduction to Jupyter Notebooks

Week 2: Data Manipulation and Analysis

• Day 8-10: Pandas for Data Manipulation
• Day 11-13: NumPy for Numerical Computing
• Day 14: Practice Projects

Week 3: Data Visualization

• Day 15-17: Matplotlib for Basic Plotting
• Day 18-20: Seaborn for Statistical Visualization
• Day 21: Practice Projects

Week 4: Introduction to Machine Learning

• Day 22-24: Overview of Machine Learning
• Day 25-27: Introduction to scikit-learn
• Day 28-30: Hands-on Machine Learning Projects

Remember to practice regularly, work on real-world projects, and refer to official documentation and online resources. Adjust the pace based on your understanding and comfort level with each topic.