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Datavisi.py

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+import matplotlib.pyplot as plt
+import numpy as np
+
+# Data
+categories = ['General', 'Security', 'Databases']
+course_counts = [96, 8, 7]
+
+# Expiration data (estimated from the dataset)
+expiration_types = ['Unknown', 'Unlimited', 'Limited Time']
+expiration_counts = [80, 25, 6]  # Estimated counts
+
+# Top providers (estimated from the dataset)
+providers = ['Cisco', 'RedHat', 'Google', 'AWS', 'Others']
+provider_counts = [10, 12, 8, 6, 75]  # Estimated counts
+
+# Create a figure with 3 subplots
+fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(12, 18))
+
+# 1. Courses by Category
+ax1.bar(categories, course_counts, color=['#1f77b4', '#ff7f0e', '#2ca02c'])
+ax1.set_title('Number of Free Courses by Category', fontsize=16)
+ax1.set_xlabel('Category', fontsize=12)
+ax1.set_ylabel('Number of Courses', fontsize=12)
+for i, count in enumerate(course_counts):
+    ax1.text(i, count, str(count), ha='center', va='bottom')
+
+# 2. Courses by Expiration Type
+ax2.pie(expiration_counts, labels=expiration_types, autopct='%1.1f%%', startangle=90)
+ax2.set_title('Distribution of Courses by Expiration Type', fontsize=16)
+
+# 3. Top Providers
+y_pos = np.arange(len(providers))
+ax3.barh(y_pos, provider_counts, align='center')
+ax3.set_yticks(y_pos)
+ax3.set_yticklabels(providers)
+ax3.invert_yaxis()  # labels read top-to-bottom
+ax3.set_title('Number of Courses by Top Providers', fontsize=16)
+ax3.set_xlabel('Number of Courses', fontsize=12)
+for i, v in enumerate(provider_counts):
+    ax3.text(v + 0.5, i, str(v), va='center')
+
+plt.tight_layout()
+plt.show()

README.md

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+# CertifyMaster Data Visualization
+
+This project provides a simple and effective way to visualize the data related to the courses offered on CertifyMaster.
+
+## Overview
+
+CertifyMaster is an educational platform that offers a variety of free courses across multiple categories, including General, Security, and Databases. This project leverages Matplotlib to create insightful visual representations of course data, making it easier for users to understand course distribution by category, expiration type, and provider.
+
+![Untitled](https://github.com/user-attachments/assets/fb01d757-bb10-49ad-902b-04d5fdee7d53)
+
+
+## Features
+
+- **Bar Chart**: Displays the number of free courses available in each category.
+- **Pie Chart**: Illustrates the distribution of courses by expiration type (Unknown, Unlimited, Limited Time).
+- **Horizontal Bar Chart**: Shows the number of courses offered by top providers (Cisco, RedHat, Google, AWS, and Others).
+
+## Requirements
+
+To run this visualization, you will need:
+
+- Python 3.x
+- Matplotlib
+- NumPy
+
+You can install the required packages using pip:
+
+```bash
+pip install matplotlib numpy