Conclusion to first steps in data science

This concludes the course. Over the last two weeks you have seen

  • how a person can take the first steps in data science
  • the anatomy of web pages and web sites
  • how to generate tracking code for Google Analytics
  • how to insert Google Analytics tracking code into web pages
  • the kinds of data and displays Google Analytics can generate
  • how Google Analytics collected data for your student cohort
  • how you can change and observe in realtime the traffic to a website
  • how the General Data Protection Regulations affect data science
  • how you can become a bridge person in your organisation
  • how to take the next steps in data science
  • how to take the next steps with Google Analytics

This is quite a lot for just four hours study. We hope you found the course interesting and that you have learned things that you can apply. We hope the course will help some of you get that illusive first job interview, and that others will have new professional opportunities and enhanced job satisfaction.

But let’s be realistic. There is much more to know about Google Analytics, and very much more to know about data science. Hopefully you can be useful in an organisation with your new knowledge, but realise that there is more to learn.

Please let us know how the course worked for you - we appreciate your feedback so we can improve the course for future learners.

What do you think?

Was this short course a useful first step in data science? Do you feel that you understand better how tracking code is created and inserted into web pages? Did you find it interesting to view the data generated by the cohort? Did you help to increase our web traffic? Might this course help you get a new or better job? Do you have any other comments or feedback?

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This article is from the free online course:

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

UNESCO UNITWIN Complex Systems Digital Campus