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

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

Analyse user behaviour and website performance

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Course Highlights

  • 4 Modules & Sub-modules

  • Get degree online

  • Access to this course for 4 weeks

  • Earn professional and academic accreditation

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Validity: 14 Days

Mode of learning: Online self study

Course Overview

Who should do this course ?
  • The course ‘Introduction to Data Science with Google Analytics: Bridging Business and Technical Experts’ is for people working in an organization dealing with online business. The course appeals to freshers and beginner level professionals who are looking for a stronger head-start on the professional front.

What are the course deliverables ?
  • Explain how data collected on website user characteristics and behaviours can be used by organisations to monitor the performance of the website and how it is achieving its goals

  • Apply Google Analytics to create tracking code and know how 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 and what data is needed

  • Take your next steps in data science to advance your knowledge and improve your job and career prospects

More about this course
  • In the course Introduction to Data Science with Google Analytics: Bridging Business and Technical Experts, candidates can learn how to analyze data to take decisions. The course helps one understand how an organization can shake hands with analytics experts to perceive data better. One will learn nuances of data science through Google Analytics, which is an industry standard. Once can also learn ways to create and use tracking codes, as well as see types of data produced by it. Towards the end of the course, one can develop better practical skills in data science which can be used immediately for further growth in the field of data science.

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