Practice – Ecommerce
E-commerce Domain Practice: A Hands-On Approach
Overview:
This program is designed to provide practical experience in the e-commerce domain, covering various aspects such as data analysis, customer segmentation, and product recommendation.
Key Features:
- Project-Based Learning: Gain hands-on experience through real-world e-commerce projects.
- Mentorship: Receive expert guidance from industry professionals.
- Skill Development: Enhance your skills in data analysis, machine learning, and data visualization.
- Real-World Applications: Apply your knowledge to solve real-world e-commerce challenges.
Project Tracks:
Transactional Reporting – 1 Weeks
- Suspicious Transaction Alert: Develop a system to identify and flag suspicious transactions using data mining techniques.
Analytical Reporting – 2 Weeks
- Product Penetration Dashboard: Create interactive dashboards to visualize product penetration and customer behavior.
Product Forecasting – 3 Weeks
- Next Best Offer: Develop a system to recommend personalized offers to customers.
Learning Outcomes:
- Data Analysis: Learn to clean, transform, and analyze large datasets.
- Data Visualization: Create insightful visualizations to communicate data effectively.
- Statistical Modeling: Apply statistical techniques to make data-driven decisions.
- Machine Learning: Build predictive models to forecast trends and make recommendations.
- Business Intelligence: Develop dashboards and reports to monitor business performance.
By completing these projects, you will gain hands-on experience in e-commerce data analysis and be well-prepared to tackle real-world challenges in the industry.