FutureLearn

Introduction to Data Science with Google Analytics: Bridging Business and Technical Experts (FutureLearn)

Offered by UNESCO UNITWIN Complex Systems Digital Campus,
Introduction to Data Science with Google Analytics: Bridging Business and Technical Experts (FutureLearn)

Get started with data science by learning how to use Google Analytics to analyse user behaviour and website performance. Get started with data science by learning to use Google Analytics. In a world where decisions are increasingly data-driven, an understanding of data science can take you a long way. On this course, you will learn how to be the bridge in your organisation between analytics experts and other functions.

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You’ll be introduced to data science through Google Analytics, an industry standard. You’ll learn how to create and use tracking codes, and to view the types of data it produces. By the end of this data science course, you’ll have new practical skills you can use immediately and will be ready to take your next steps in data science.

What topics will you cover?

  • Data science and data analytics provide valuable data on the characteristics and behaviours of website users
  • Google Analytics provide free services to collect and display a wide variety of user data over time
  • How to make Google Analytics scripts and insert them into websites
  • How to interpret the data and displays generated by your own cohort during the course

What will you achieve?
By the end of the course, you'll be able to...

  • Explain how data collected on website user characteristics and behaviours can be used by organisations to monitor the performance of their website
  • Use Google Analytics to create tracking code and know how to insert it into the HTML code of pages of a website
  • Identify the wide range of user statistics that can be produced by Google Analytics, and the way they can be displayed for use in reports
  • Engage in your organisation as a 'bridge person' between the business side and the technical side, explaining what data can be collected compared to what data is needed
  • Take your next steps in data science to advance your knowledge and improve your job and career prospects
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