Redcat Shoes Sales Analytics in Python and SQL (with full Code)
🌟 Get ahead of the Competition in the Job Market. Become an Analytics Professional: Dive into this Sales Analytics Project Today! 📊
💡 Sales Analytics is used by the Business and Top Leadership to gain insights about their Sales, Products and Customer Demographic patterns in transactions. Sales Insights is essential for any enterprise to take actions to improve their sales. 📈
[with full Code and Video Explainers]
In this Sales Analytics Project, you will perform detailed Analysis on the given data using SQL and Python. This course will go into a lot of depth of SQL queries and Python Data Analysis and Visualisations. There are detailed and step-by-step instructions, video and Code to make it smooth learning and doing for you. At the end of the project, you will be really comfortable with complex Data Analysis using SQL and Python. The other positive angle of the Project is that it will teach you domain understanding in Sales Transactions, Customer and Product Data and how these Data can be handled through SQL and Python to bring out Insights and help the management in Decision Maning through these Analytics Insights. 🚀
Redcat Shoes Sales Analytics in Python and SQL | Data Analytics Projects For Beginner
Redcat is a popular shoe brand in the US. They are expanding and want to improve their sales by analysing what is working well for them and focussing more on those aspects.Â
Redcat Shoes Sales Analytics Project For Student
Objective: The Redcat Shoes Sales Analytics project for beginners aims to harness the power of data analytics projects for students to drive growth, improve sales performance, and make informed strategic decisions. The project centers around the analysis of sales transactions, customer information, and product data to unlock valuable insights.
Project Scope: The scope of the project encompasses a comprehensive analysis of various facets of Redcat Shoes‘ operations. Key areas of focus include:
Sales Trends Analysis: Examining historical sales data to identify trends, patterns, and seasonality.
Customer Demographics Exploration: Analyzing customer information to gain insights into age, gender, location, and contact details.
Product Performance Assessment: Evaluating the performance of different products, product categories, color preferences, and gender-specific trends.
Geographic Expansion Opportunities: Identifying potential growth areas and regions to guide expansion efforts.
Recommendations: Providing actionable recommendations to enhance sales strategies, target the right audience, and improve market presence.
Features
- redcat shoes sales analytics project using data analytics, redcat shoes sales analytics project for beginners, redcat shoes sales analytics project
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Course Features
- Lectures 14
- Quizzes 0
- Duration 10 Days
- Skill level Intermediate
- Language English
- Students 326
- Certificate Yes
- Assessments Self