Welcome to my Data Science learning journey! This repository documents my progress and key learnings as I dive into the fascinating world of data science. This journey is guided by the excellent Code With Harry course, which covers data science using Python and real-world applications.
Here's a snapshot of the exciting things I'll be mastering:
✅ Python Programming for Data Science
From the basics to advanced techniques, tailored for data analysis and data-driven decision making.
✅ Data Analysis with Pandas and NumPy
Harnessing the power of these libraries to wrangle, manipulate, and analyze data like a pro.
✅ Data Visualization with Matplotlib and Seaborn
Creating stunning visual stories that bring data insights to life.
✅ Core Statistics and Probability Concepts
Building a solid foundation to make sense of data and unlock actionable insights.
✅ Data Cleaning and Preprocessing
Preparing real-world datasets for reliable analysis and modeling.
✅ Real-World Projects
Working on hands-on projects to put theory into practice.
✅ Jupyter Notebooks
Leveraging the interactive environment of Jupyter Notebooks for an efficient and engaging coding experience.
A heartfelt thank you to Code With Harry for creating such an awesome and beginner-friendly course.