Google Data Analytics

Google Data Analytics

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Introduction

Google Data Analytics Training Course is a comprehensive course designed to provide participants with the necessary skills to interpret data and draw actionable insights from it. This course will cover the basics of analytics, such as mapping data sources, creating visualizations, and analyzing data sets. In addition, participants will learn how to use Google’s powerful suite of analytics tools to explore trends in the collected data, including the ability to search for anomalies that may exist within the dataset. The course will also cover more advanced topics such as predictive modeling, using A/B testing to evaluate changes in customer behavior and exploring correlations between variables. At completion of this training program, participants should have a thorough understanding and mastery of Google’s analytical software tools that can help them better understand their customer base and make informed decisions about their business strategy.

 

 

 

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Objective

The objective of a Google Data Analytics training course is to equip students with the foundational knowledge and skillset necessary for effectively utilizing Google data analytics tools. Through this course, students will learn how to set up and manage a cloud-based Google Analytics account, analyze website traffic information, generate insightful reports, interpret user behaviors and trends, use data to improve website design and performance, and optimize campaigns for better marketing analysis. Additionally, this course will provide an in-depth understanding of the various components of Google Analytics such as metrics, dimensions, segments, and filters. Upon completion of the coursework, participants should be able to access real-time data from their websites without difficulty; create custom reports based on specific KPIs; segment data into meaningful categories; leverage reporting tools such as Dashboards to draw deeper insights from reports; understand the importance of testing for optimal performance; and be well equipped to make informed marketing decisions based on reliable web measurement techniques.

 

 

 

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