Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/md-emon-hasan/data_analytics_project
Data analytics tasks and solutions, featuring hands-on exercises for data cleaning, visualization, and analysis using Python libraries.
https://github.com/md-emon-hasan/data_analytics_project
cars-dataset census-data covid19-data data-analysis london-house-price police-data weather-data
Last synced: 30 days ago
JSON representation
Data analytics tasks and solutions, featuring hands-on exercises for data cleaning, visualization, and analysis using Python libraries.
- Host: GitHub
- URL: https://github.com/md-emon-hasan/data_analytics_project
- Owner: Md-Emon-Hasan
- License: apache-2.0
- Created: 2023-08-31T08:59:33.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-07-09T07:25:42.000Z (7 months ago)
- Last Synced: 2024-11-13T20:42:11.017Z (3 months ago)
- Topics: cars-dataset, census-data, covid19-data, data-analysis, london-house-price, police-data, weather-data
- Language: Jupyter Notebook
- Homepage:
- Size: 1.06 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Data Analytics Project
Welcome to the **Data Analytics Project** repository! This repository showcases a collection of data analytics projects focusing on various domains and techniques. It includes practical examples, analyses, and visualizations using Python and relevant libraries.
## 📋 Contents
- [Introduction](#introduction)
- [Key Techniques](#key-techniques)
- [Getting Started](#getting-started)
- [Contributing](#contributing)
- [Challenges Faced](#challenges-faced)
- [Lessons Learned](#lessons-learned)
- [Why I Created This Repository](#why-i-created-this-repository)
- [License](#license)
- [Contact](#contact)
---
## 📖 Introduction
This repository serves as a portfolio of data analytics projects covering a range of topics and industries. Each project provides insights into data manipulation, exploratory data analysis (EDA), statistical analysis, machine learning (if applicable), and visualization techniques.
---
## 🔑 Key Techniques
- **Data Cleaning:** Techniques for handling missing data, outliers, and inconsistencies.
- **Exploratory Data Analysis (EDA):** Methods to summarize main characteristics of the data.
- **Statistical Analysis:** Application of statistical tests and measures to uncover patterns and insights.
- **Machine Learning:** Utilization of machine learning models for prediction and classification tasks (if applicable).
- **Data Visualization:** Creating visual representations of data using charts, graphs, and plots.
---
## 🚀 Getting Started
To explore the projects in this repository, follow these steps:
1. **Clone the repository:**
```bash
git clone https://github.com/Md-Emon-Hasan/Data_Analytics_Project.git
```
2. **Navigate to the project directory:**
```bash
cd Data_Analytics_Project
```
3. **Explore individual project folders:**
- Each project folder contains its own README and code files.
---
## 🤝 Contributing
Contributions are welcome! Here's how you can contribute to this repository:
1. **Fork the repository.**
2. **Create a new branch:**
```bash
git checkout -b feature/new-feature
```
3. **Make your changes:**
- Add new projects, improve documentation, or optimize code.
4. **Commit your changes:**
```bash
git commit -am 'Add a new project or update'
```
5. **Push to the branch:**
```bash
git push origin feature/new-feature
```
6. **Submit a pull request.**
---
## 🛠️ Challenges Faced
Throughout the development of this repository, challenges were encountered, including:
- Data cleaning and preprocessing complexities.
- Choosing appropriate visualization techniques for different datasets.
- Implementing and fine-tuning machine learning models (if applicable).
---
## 📚 Lessons Learned
Key lessons learned from developing this repository include:
- Improved proficiency in data manipulation and analysis techniques.
- Enhanced understanding of statistical methods and machine learning algorithms.
- Importance of clear project documentation and reproducibility.
---
## 🌟 Why I Created This Repository
I created this repository to showcase my skills in data analytics and provide a resource for others interested in exploring real-world data projects. Each project demonstrates practical applications of data science techniques and serves as a learning tool for aspiring data analysts and scientists.
---
## 📜 License
This project is licensed under the Apache License 2.0. See the [LICENSE](LICENSE) file for more details.
---
## 📬 Contact
- **Email:** [[email protected]](mailto:[email protected])
- **WhatsApp:** [+8801834363533](https://wa.me/8801834363533)
- **GitHub:** [Md-Emon-Hasan](https://github.com/Md-Emon-Hasan)
- **LinkedIn:** [Md Emon Hasan](https://www.linkedin.com/in/md-emon-hasan)
- **Facebook:** [Md Emon Hasan](https://www.facebook.com/mdemon.hasan2001/)
Feel free to reach out for any questions, feedback, or collaboration opportunities!