Go Further with Your Google Analytics Data

Course Overview

This course provides an overview of how to get the most out of your Google Analytics data. Participants will learn how to customize and manage data collection, import and combine business data, and export data for further customization. Additionally, participants will gain an understanding of the enterprise features available in Analytics 360 properties. Upon completion of this course, participants will be able to control the data they collect, combine data from other sources, and learn about their options if they need enterprise Analytics features.

[Applications]
After completing this course, participants can apply their knowledge of Google Analytics to customize and manage data collection, import and combine business data, and export data for further customization. They can also describe the enterprise features available in Analytics 360 properties.

[Career Paths]
1. Digital Marketing Analyst: Digital marketing analysts use Google Analytics data to develop and implement effective digital marketing strategies. They analyze website traffic, user behavior, and other data to identify trends and opportunities for improvement. They also use this data to create reports and make recommendations to improve the performance of digital campaigns.

2. Data Scientist: Data scientists use Google Analytics data to develop predictive models and uncover insights. They analyze large datasets to identify patterns and trends, and use this information to develop strategies and solutions. They also use Google Analytics data to create visualizations and reports that help organizations make better decisions.

3. Web Developer: Web developers use Google Analytics data to optimize websites and improve user experience. They analyze website traffic and user behavior to identify areas of improvement, and use this data to develop and implement solutions. They also use Google Analytics data to create reports and track the performance of websites.

4. Business Intelligence Analyst: Business intelligence analysts use Google Analytics data to develop insights and strategies for organizations. They analyze website traffic, user behavior, and other data to identify trends and opportunities for improvement. They also use this data to create reports and make recommendations to improve the performance of business operations.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, including programming, software engineering, and data structures. It also covers topics such as artificial intelligence, machine learning, and computer networks. With the increasing demand for data-driven decision making, this degree path is becoming increasingly popular.

2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. It also covers topics such as data visualization, natural language processing, and big data. This degree path is becoming increasingly popular as businesses look to leverage data to make better decisions.

3. Master of Science in Business Analytics: This degree path focuses on the application of analytics to business problems. It covers topics such as data mining, predictive analytics, and optimization. It also covers topics such as data visualization, decision making, and business intelligence. This degree path is becoming increasingly popular as businesses look to leverage data to make better decisions.

4. Doctor of Philosophy in Analytics: This degree path focuses on the research and development of analytics techniques. It covers topics such as data mining, machine learning, and predictive analytics. It also covers topics such as data visualization, natural language processing, and big data. This degree path is becoming increasingly popular as businesses look to leverage data to make better decisions.