Real-Time Insights for Retail and E-commerce equips participants with the analytical skills necessary to harness data for immediate decision-making in dynamic market environments. Through a project-based approach, learners will engage with real-world datasets, employing various analytical techniques to derive actionable insights that can enhance business performance. This course emphasizes hands-on experience, allowing participants to work on projects that reflect current industry challenges and trends.
The curriculum is structured to facilitate a deep understanding of data analytics tools and methodologies relevant to retail and e-commerce sectors. Participants will explore topics ranging from data collection and preprocessing to advanced predictive modeling and visualization techniques. The final project will require learners to apply their knowledge to a comprehensive case study, culminating in a presentation of their findings, which may be published in Cademix Magazine. This course not only prepares individuals for immediate application in the workplace but also fosters a community of practice among peers.
Introduction to Real-Time Data Analytics
Data Collection Techniques for Retail and E-commerce
Data Preprocessing and Cleaning Strategies
Exploratory Data Analysis (EDA) for Retail Insights
Predictive Analytics: Forecasting Sales Trends
Customer Segmentation and Behavior Analysis
Real-Time Dashboard Creation with Visualization Tools
A/B Testing and Experimentation in E-commerce
Machine Learning Algorithms for Retail Applications
Final Project: Analyzing a Retail Data Set and Presenting Insights