Welcome to my repository! 🎉
This repo contains a collection of my learning projects, showcasing my journey through exploring and analyzing a variety of datasets to uncover hidden insights. These projects reflect my passion for data and my continuous efforts to refine my data science skills.
A special shoutout to Angela Yu for her incredible course, 100 Days of Code: The Complete Python Pro Bootcamp, which has been a guiding light in this journey.
- Data Cleaning and Preparation
- Exploratory Data Analysis (EDA)
- Data Visualization using Python Libraries
- Time-Series Trend Analysis
- Statistical Analysis and Hypothesis Testing
- How to effectively explore datasets using tools like
PandasandNumPy. - Visualizing data trends and insights with
Seaborn,Matplotlib, andPlotly. - Handling missing values and reshaping data for better analysis.
- Creating and styling compelling visualizations to communicate insights.
- Basics of
Scikit-Learnthrough implementing linear regression. - Manipulating time-series data and identifying trends using rolling means and resampling.
- Aggregating data with
groupby()and building pivot tables for deeper insights.
Feel free to explore the projects and see how these skills come to life! Contributions, feedback, and suggestions are always welcome. 😊
Happy Coding! 🚀