Syllabus: Data & Analytics - Google Analytics: A Deeper StudyIntroduction:
- Overview of data and analytics
- Importance of data analysis in decision-making process
- Introduction to Google Analytics and its role in data analysis
Module 1: Understanding Google Analytics1.1 Introduction to Google Analytics:
- Definition and purpose of Google Analytics
- Features and benefits of using Google Analytics
- Overview of Google Analytics interface
1.2 Setting up Google Analytics:
- Creating a Google Analytics account
- Installing the Google Analytics tracking code on a website
- Verifying the tracking code installation
1.3 Navigating Google Analytics:
- Understanding the Google Analytics dashboard
- Exploring the various reporting sections
- Customizing the dashboard for personalized reporting
Module 2: Collecting and Analyzing Data2.1 Data Collection and Tracking:
- Understanding the different types of data collected by Google Analytics
- Setting up goals and events tracking
- Implementing e-commerce tracking
2.2 Analyzing Audience Data:
- Understanding audience demographics and interests
- Analyzing user behavior and engagement metrics
- Segmentation and filtering of audience data
2.3 Analyzing Acquisition Data:
- Evaluating traffic sources and channels
- Analyzing referral traffic and campaigns
- Measuring the effectiveness of marketing campaigns
2.4 Analyzing Behavior Data:
- Analyzing website content and page views
- Evaluating site search and navigation behavior
- Analyzing exit and bounce rates
Module 3: Advanced Analytics Techniques3.1 Advanced Reporting and Customization:
- Creating custom reports and dashboards
- Using advanced filters and segments
- Applying advanced attribution models
3.2 Advanced Data Analysis:
- Utilizing data visualization tools and techniques
- Conducting A/B testing and conversion rate optimization
- Analyzing funnel visualization and user flow
3.3 Advanced E-commerce Analytics:
- Implementing enhanced e-commerce tracking
- Analyzing product performance and sales funnel
- Utilizing data for personalization and remarketing strategies
3.4 Google Analytics API and Data Integration:
- Introduction to the Google Analytics API
- Integrating Google Analytics data with other tools and platforms
- Automating data extraction and reporting using API
Module 4: Data Interpretation and Reporting4.1 Data Interpretation:
- Understanding key metrics and KPIs
- Interpreting trends and patterns in data
- Identifying actionable insights from analytics data
4.2 Effective Reporting:
- Designing effective reports and visualizations
- Communicating insights to stakeholders
- Incorporating data-driven decision-making in business strategy
4.3 Data Privacy and Security:
- Understanding data privacy regulations and compliance
- Implementing data security measures in Google Analytics
- Ensuring data confidentiality and integrity
Module 5: Case Studies and Practical Applications5.1 Real-world Case Studies:
- Analyzing and interpreting data from various industry sectors
- Identifying challenges and opportunities in data analysis
- Implementing data-driven strategies for business growth
5.2 Practical Applications:
- Hands-on exercises and assignments using Google Analytics
- Implementing data collection and analysis for a website
- Applying data insights to improve website performance and user experience
Note: This syllabus provides a comprehensive overview of the topics covered in the Data & Analytics course focused on Google Analytics. The course duration and specific content may vary depending on the educational institution or training provider.
This course is helpful for the following exams: Data & Analytics