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https://github.com/mayankyadav23/data-analysis-with-python

This repository showcases data analysis projects using Python and libraries like Numpy, Pandas, Matplotlib and Seaborn. Key projects include visualizing medical data, analyzing page view trends, and predicting sea level changes. Explore to see Python's data analysis capabilities!
https://github.com/mayankyadav23/data-analysis-with-python

data-analysis-python demographic-data-analyzer freecodecamp mean-variance-standard-deviation-calculator medical-data-visualizer page-view-time-series-visualizer sea-level-predictor

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This repository showcases data analysis projects using Python and libraries like Numpy, Pandas, Matplotlib and Seaborn. Key projects include visualizing medical data, analyzing page view trends, and predicting sea level changes. Explore to see Python's data analysis capabilities!

Awesome Lists containing this project

README 

        
# 📊 Data Analysis with Python - FCC



## 🔍 Overview

Data Analysis has been around for a long time. Up until a few years ago, it was often practiced using expensive, closed-source tools like Tableau. However, with the rise of Python, SQL, and other open-source libraries, data analysis has become more accessible and powerful.



In this certification, I have gained fundamental skills in data analysis using Python. By the end of this certification, I learned how to read data from various sources like CSV files and SQL databases, and how to process and visualize data using libraries like Numpy, Pandas, Matplotlib, and Seaborn.



## 🏅 Certificate

![Screenshot 2024-10-12 113825](https://github.com/user-attachments/assets/40dc1d85-e04f-4c10-9c3c-ce69b89d1402)



## 📁 Projects

This repository contains the following five projects, each demonstrating specific data analysis techniques:



### 1. 📐 Mean-Variance-Standard Deviation Calculator

A Python program that calculates the mean, variance, and standard deviation of a 3x3 matrix. This project introduces fundamental statistical calculations using Python and Numpy.



- **Tools/Libraries Used:** Numpy



### 2. 🧑‍🤝‍🧑 Demographic Data Analyzer

This project analyzes demographic data to discover insights about the population, such as the percentage of individuals who hold advanced degrees and the income distribution by race and gender.



- **Tools/Libraries Used:** Pandas



### 3. 🏥 Medical Data Visualizer

A project focused on visualizing medical data to highlight trends in BMI, cholesterol levels, and other health metrics. The visualizations help identify patterns that could be useful in healthcare analytics.



- **Tools/Libraries Used:** Pandas, Matplotlib, Seaborn



### 4. ⏳ Page View Time Series Visualizer

A time series analysis and visualization of website page views over a given period. The project demonstrates how to clean data, calculate moving averages, and visualize trends.



- **Tools/Libraries Used:** Pandas, Matplotlib, Seaborn



### 5. 🌊 Sea Level Predictor

An analysis of sea level rise data over time, with a linear regression model to predict future sea levels. This project highlights the power of predictive analysis using historical data.



- **Tools/Libraries Used:** Pandas, Matplotlib, Seaborn



## 🛠️ Tools and Libraries

The following tools and libraries were used throughout the projects:

- **Python**

- **Numpy**

- **Pandas**

- **Matplotlib**

- **Seaborn**



## 📈 Conclusion

Through these projects, I have built a strong foundation in data analysis using Python. I have learned how to clean, process, and visualize data to derive meaningful insights. This certification has provided me with the skills necessary to tackle real-world data analysis challenges using open-source tools.



Feel free to explore each project in its respective folder for more details.

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##### Contact Info : [LinkedIn](https://linkedin.com/in/mayankyadv)