Syllabus for Data & Analytics Web Analytics: For Beginners1. Introduction to Web Analytics
- Understanding the concept of web analytics
- Importance of web analytics in data-driven decision making
- Overview of different web analytics tools and platforms
2. Fundamentals of Web Analytics
- Key metrics and KPIs in web analytics
- Setting up goals and objectives for web analytics
- Understanding user behavior and engagement tracking
3. Implementing Web Analytics
- Installing and configuring web analytics tools (e.g., Google Analytics)
- Tracking website visitors and page views
- Setting up event tracking and conversion tracking
4. Analyzing Web Data
- Interpreting web analytics reports and dashboards
- Analyzing traffic sources and user demographics
- Identifying trends and patterns in website performance
5. Conversion Optimization
- Understanding the conversion funnel and customer journey
- A/B testing and multivariate testing for optimization
- Improving website usability and user experience
6. Advanced Web Analytics Techniques
- Segmentation and audience analysis
- Funnel analysis and goal tracking
- Heatmaps and click tracking for user behavior analysis
7. Mobile and E-commerce Analytics
- Tracking mobile app usage and engagement
- E-commerce tracking and revenue analysis
- Analyzing mobile and e-commerce conversion rates
8. Data Visualization and Reporting
- Creating effective web analytics reports and visualizations
- Presenting data insights to stakeholders
- Using data storytelling techniques to communicate findings
9. Privacy and Ethics in Web Analytics
- Understanding data privacy regulations (e.g., GDPR)
- Ethical considerations in web analytics
- Ensuring data security and user privacy
10. Case Studies and Practical Applications
- Real-world examples of web analytics implementation
- Applying web analytics techniques to solve business problems
- Hands-on exercises and projects to practice web analytics skills
Note: This syllabus is designed for beginners in web analytics and aims to provide a comprehensive understanding of the subject. The course will be delivered through a combination of theoretical concepts, practical demonstrations, and interactive exercises to ensure a well-rounded learning experience.
This course is helpful for the following exams: Data & Analytics