python-programming-internship

# Python Solution for Data Analysis Task

## Overview
This script processes and analyzes sales data to identify trends and generate insights for [COMPANY], a retail business in the consumer goods industry.

## Key Features
- Data cleaning and preprocessing
- Trend analysis over time
- Top product identification
- Sales forecasting

## Implementation
```python
import pandas as pd
import numpy as np
from datetime import datetime

# Load and preprocess data
data = pd.read_csv('sales_data.csv')
data['Date'] = pd.to_datetime(data['Date'])
data = data.dropna()

# Analyze trends
data['Month'] = data['Date'].dt.to_period('M')
monthly_sales = data.groupby('Month')['Sales'].sum()

# Identify top products
top_products = data.groupby('Product')['Sales'].sum().nlargest(5)

# Forecast future sales
# (Implementation would continue...)
```

## Next Steps
1. Implement the forecasting model
2. Create visualizations for the dashboard
3. Document the code and results