E-commerce Data Analytics and Insights
( 25 Modules )

Module #1
Introduction to E-commerce Analytics
Overview of e-commerce analytics, importance, and benefits

Module #2
E-commerce Data Sources and Collection
Types of e-commerce data, data sources, and collection methods

Module #3
Data Warehousing and ETL Processes
Introduction to data warehousing, ETL (Extract, Transform, Load) processes, and tools

Module #4
Data Visualization Fundamentals
Introduction to data visualization, types, and best practices

Module #5
Google Analytics for E-commerce
Setting up and using Google Analytics for e-commerce tracking

Module #6
E-commerce Metrics and KPIs
Understanding key e-commerce metrics and KPIs (e.g., conversion rate, AOV, ROAS)

Module #7
Customer Segmentation and Profiling
Segmenting and profiling customers based on behavior, demographics, and preferences

Module #8
Product Analytics and Performance
Analyzing product performance, sales, and profitability

Module #9
Pricing and Inventory Analytics
Analyzing pricing strategies and inventory optimization techniques

Module #10
Marketing Channel Analysis
Analyzing the performance of marketing channels (e.g., social media, email, paid ads)

Module #11
Conversion Rate Optimization (CRO)
Understanding CRO principles and strategies

Module #12
A/B Testing and Experimentation
Designing and executing A/B tests and experiments to inform business decisions

Module #13
Customer Journey Mapping and Analysis
Creating customer journey maps and analyzing touchpoints

Module #14
Predictive Analytics for E-commerce
Introduction to predictive analytics and its applications in e-commerce

Module #15
Clustering and Segmentation Analysis
Using clustering and segmentation techniques to identify customer groups

Module #16
Recommendation Systems and Personalization
Building recommendation systems and personalizing customer experiences

Module #17
E-commerce Forecasting and Demand Planning
Using analytics to forecast sales and optimize inventory

Module #18
Social Media and Influencer Analytics
Analyzing social media performance and influencer partnerships

Module #19
Email Marketing Analytics and Automation
Optimizing email marketing campaigns and automating workflows

Module #20
Search Engine Optimization (SEO) Analytics
Analyzing SEO performance and optimizing for search engines

Module #21
Affiliate Marketing Analytics and Optimization
Analyzing affiliate marketing performance and optimizing programs

Module #22
E-commerce Fraud Detection and Prevention
Using analytics to detect and prevent e-commerce fraud

Module #23
Data Storytelling and Communication
Effectively communicating insights and telling data stories

Module #24
Analytics Tools and Technologies
Overview of popular analytics tools and technologies for e-commerce

Module #25
Course Wrap-Up & Conclusion
Planning next steps in E-commerce Data Analytics and Insights career

WIZAPE

ONLINE RESOURCES

ABOUT WIZAPE

ONLINE PORTAL

Our priority is to cultivate a vibrant community before considering the release of a token. By focusing on engagement and support, we can create a solid foundation for sustainable growth. Let’s build this together!

We're giving our website a fresh new look and feel! 🎉 Stay tuned as we work behind the scenes to enhance your experience.
Get ready for a revamped site that’s sleeker, and packed with new features. Thank you for your patience. Great things are coming!

CONTACT-US PRIVACY POLICY

E-commerce Data Analytics and Insights ( 25 Modules )

E-commerce Data Analytics and Insights
( 25 Modules )