This analysis aims to identify car sales market trends, consumer preferences, and seasonal patterns in sales to provide insights that can help improve marketing/sales strategies. This analysis includes:
- - Data cleansing to ensure the accuracy and reliability of the analysis.
- - Exploratory data analysis of car sales to identify market trends, customer preferences, and seasonal patterns. Data visualization using Microsoft Power BI to gain insights into sales performance, customer demographics, and factors influencing purchasing decisions.
- - Implementation of an algorithm (SARIMA) to predict future sales and provide actionable recommendations. Application of data science and machine learning knowledge to provide valuable insights that can improve sales, marketing, and product development strategies in the automotive industry.