Data & Analytics Google Analytics: For BeginnersCourse Description:This course is designed for beginners who want to learn the basics of data analytics using Google Analytics. The course will cover the fundamentals of data analysis, as well as how to use Google Analytics to gather and interpret data for actionable insights. Participants will gain a solid foundation in data analytics and develop the skills necessary to make data-driven decisions.
Course Objectives:- Understand the importance of data analytics in decision-making
- Familiarize with Google Analytics and its key features
- Learn how to set up and navigate Google Analytics
- Gain knowledge of basic data analysis techniques
- Interpret data and draw meaningful insights using Google Analytics
- Apply data analytics concepts to real-world scenarios
Course Outline:1. Introduction to Data Analytics- Definition and significance of data analytics
- Role of data analytics in decision-making
- Introduction to Google Analytics
2. Getting Started with Google Analytics- Creating a Google Analytics account
- Setting up Google Analytics tracking code
- Navigating the Google Analytics interface
3. Understanding Google Analytics Reports- Overview of Google Analytics reports
- Key metrics and dimensions
- Interpreting data in Google Analytics
4. Analyzing Audience Data- Understanding audience segmentation
- Analyzing user demographics
- Tracking user behavior on the website
5. Analyzing Acquisition Data- Understanding different acquisition channels
- Analyzing traffic sources
- Evaluating marketing campaigns
6. Analyzing Behavior Data- Tracking user engagement
- Analyzing website content performance
- Identifying conversion funnels
7. Setting up Goals and Conversions- Defining goals in Google Analytics
- Tracking conversions and measuring success
- Analyzing goal conversion rates
8. Advanced Data Analysis Techniques- Using advanced filters and segments
- Creating custom reports
- Applying data visualization techniques
9. Applying Data Analytics in Practice- Case studies and real-world examples
- Applying data analytics to solve business problems
- Developing data-driven strategies
10. Final Assessment- Review of key concepts and techniques
- Final assessment to gauge understanding and knowledge
Note: This syllabus is subject to change based on the instructor's discretion and the needs of the participants.
This course is helpful for the following exams: Data & Analytics