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Updated in [March 05th, 2023]
This course, Understand a Site's Traffic Using Google Analytics, will provide students with the skills and knowledge to use Google Analytics to evaluate a website's traffic and make informed decisions that will have a measurable impact on engagement and conversions. Students will learn how to add Google Analytics to a website, create custom campaigns, and evaluate the results via reports. Topics covered include implementing Google Analytics, applying the necessary JavaScript code, creating campaigns, selecting and analyzing Google Analytics reports, and turning data into action points. Upon completion of the course, students will have the skills and knowledge to optimize advertising campaigns, understand their audience, and guide their clients and employers to greater revenue and user satisfaction.
[Applications]
Upon completion of this course, participants will be able to apply their knowledge of Google Analytics to their own websites and applications. They will be able to use the data collected to make informed decisions about their online advertising campaigns, understand their audience, and optimize their return on investment. Additionally, participants will be able to create custom campaigns and analyze the results via reports.
[Career Paths]
1. Digital Marketing Analyst: Digital marketing analysts use Google Analytics to track and analyze website traffic, identify trends, and make recommendations to improve the effectiveness of digital marketing campaigns. They also use Google Analytics to measure the success of campaigns and optimize them for better results.
2. Web Developer: Web developers use Google Analytics to track user behavior on websites and applications. They use this data to identify areas of improvement and develop strategies to increase user engagement and conversions.
3. SEO Specialist: SEO specialists use Google Analytics to track website performance and identify areas of improvement. They use this data to optimize websites for better search engine rankings and to increase organic traffic.
4. Data Analyst: Data analysts use Google Analytics to collect, analyze, and interpret data from websites and applications. They use this data to identify trends, develop insights, and make recommendations to improve user experience and increase conversions.
[Education Paths]
Recommended degree paths:
1. Bachelor of Science in Computer Science: This degree program provides students with the knowledge and skills needed to develop, design, and maintain computer systems and networks. Students will learn about programming languages, software engineering, operating systems, and computer architecture. This degree is ideal for those interested in developing and managing websites, as well as those interested in understanding the analytics behind website traffic.
2. Bachelor of Science in Business Analytics: This degree program focuses on the use of data and analytics to make informed business decisions. Students will learn about data mining, predictive analytics, and data visualization. This degree is ideal for those interested in understanding the analytics behind website traffic and how to use that data to make decisions that will improve user engagement and conversions.
3. Master of Science in Data Science: This degree program focuses on the use of data to solve complex problems. Students will learn about machine learning, data mining, and data visualization. This degree is ideal for those interested in understanding the analytics behind website traffic and how to use that data to make decisions that will improve user engagement and conversions.
4. Master of Science in Business Analytics: This degree program focuses on the use of data and analytics to make informed business decisions. Students will learn about data mining, predictive analytics, and data visualization. This degree is ideal for those interested in understanding the analytics behind website traffic and how to use that data to make decisions that will improve user engagement and conversions.
Developing trends in these degree paths include the use of artificial intelligence and machine learning to analyze data, the use of predictive analytics to make decisions, and the use of data visualization to present data in an easy-to-understand format. Additionally, the use of cloud computing and big data technologies are becoming increasingly important in the field of data science and business analytics.