This repository contains my Python Data Science learning journey including notebooks, datasets, and exercises covering Python, Pandas, Data Analysis, and Data Visualization.
This repository includes:
- Python Basics
- Data Extraction
- Pandas Fundamentals
- Data Filtering
- GroupBy & Aggregations
- Merging & Concatenating DataFrames
- Reshaping & Pivot Tables
- Regular Expressions
- Data Visualization (Static & Interactive)
- Real-world Dataset Analysis
python basics.ipynb1.py
Learn Python fundamentals required for Data Science.
Datascience.ipynbExercises_intro_to_pandas.ipynbFiltering data with pandas.ipynbGroupby Aggresators.ipynbMerging and Concataning Datframes.ipynbReshaping_&_Pivoting_Dataframes.ipynb
Covers core Pandas operations used in Data Science.
Static & Interactive Data Visulaization Project2.ipynb
Includes:
- Matplotlib
- Seaborn
- Interactive visualizations
Regex.ipynbData_extraction.ipynb
Working with text data and extracting information.
This repository includes multiple datasets:
- Car_sales.csv
- IMDb movies.csv
- IMDb ratings.csv
- StudentsPerformance.csv
- laptop_price.csv
- vgsales.csv
- gdp.csv
- player_20.csv
- supermarket_sales.xlsx
- bestsellers with categories.csv
These datasets are used for hands-on practice and analysis.
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook
This repository is created to:
- Learn Python for Data Science
- Practice Data Analysis
- Work with Real-world datasets
- Build Data Science fundamentals
- Track learning progress
This repository is helpful for:
- Beginners learning Data Science
- Students learning Pandas
- Python learners
- Data Science interview preparation
Clone the repository
git clone https://github.com/Halok600/Learning_Python_datascience.git