Google Data Analytics Professional Certificate (part 1)

This is my review article on my very first course in Google Data Analytics professional certificate part(1/8). I shall walk you through the summary of skills and best practices that you would gain in this course.

Course Name: Foundations: Data, Data, Everywhere.

Instructor: Tony, Program manager and data analyst, Google.

Course Duration: 15 hours.

Skills covered: Data analysis, spreadsheets, SQL, Data visualization.

Best part of the course:

1. To begin with, this course is like a trailer for the upcoming courses. The instructor tony himself being a data analyst, could probably be the best part of the content because he always used to relate learning to the real world scenarios.
2. The course since focused for an entry level data analyst role, emphasized the basic building blocks of the data world in detail.
3. Unlike many of the online courses which just deliver the complex technology content and tutorials directly, this foundational sets our mindset ready for the upcoming roller-coaster ride of data analytics.
4. This course briefs about the complete Google Data Analytics professional certificate to make you understand about the learnings we make in each course.
5. Apart from videos, I enjoyed the reading material and the quizzes based on case study. These case studies are no less than problems that a real data analyst will face in his daily routine.
6. Learning Log is my favorite part of this course. You don’t believe how much you can learn by this activity. To brief about the activity, It involves doing a data analysis activity with data from our daily activities like no. of hours slept, chocolates ate per day, miles ran in a week. This learning log activity is completely personal and you can reflect on your own activities through data analysis.
7. This course follows the 6 step data analysis process of Ask, Prepare, process, Analyze, Share and Act. This is the lifecycle of a data analysis project.
8. Unique about this program is we get insights from different other googlers about their opinion on data analytics, how data varies across industries and different verticals.
9. You will learn about the basics of data analyst toolkit i.e. spreadsheets, SQL and data visualization.
10. I have learnt that key data skills are curiosity, understanding context, having technical mindset, data design, and data strategy.

Conclusion:

To conclude, this course is very much helpful for anyone is data analytics. If you are a novice then this acts as a launchpad, a quick refresher for an expert too,,

Stay tuned for remaining course reviews.

Thank You.