Content was good, but it was NOT CLEAR that you are billed for all Google Cloud usage. There was a free trial period, no notice, and then charges started to rack up. What a disappointment! This cost makes completion of the certificate program too expensive!

you really need to show us steps of making pipelines good explanation about the ETL but poor illustration of how to create one not even asingle video shows this.

I have taken all the Data Analytic courses to get prepared for this course, all the content so far on the concepts, it's great. However, WHEN IT COMES TO THE HANDS ON PRACTICES TO BUILD UP THE PORTFOLIO, THAT IS THE END OF COURSE PROJECTS, AND THE SIMILAR PREPS LIKE IT ALONG THE WAY, they have glitches, data is inconsistent, and there is NO HELP whatsoever. One cannot just go into a "BI chat" somewhere, and ask questions, if there are Materials missing, outdated, or incorrect to accomplish the real hands on project practices and end of course projects. Therefore, going into Course 3, my expectations are low. This was not the case for the Data Analytics certificate, but for Course 2 of this BI certificate. Course one was fine, only because the End of Course Projects were documents. Here in course 2, the SQL queries to follow and the data to access, are not aligned or updated.

Too abstract, Data validation just sql queries and manual checks, almost zero useful information, rules and examples not consistent, for example recommendation for table and columns naming can be randomly followed in provided tasks and example and can be not followed.

i didn't find this course as good as the others, found it very dry and not very hands on

Regarding Data Pipeline i wish i had more than overview approach means more of hands-on experience.

My main issue with this course, and why I'm giving two stars is because the Google Fiber end-of-course project is poorly developed and doesn't offer any challenge beyond what was already covered in the Google Data Analytics course. The tasks that we are asked to perform to complete it are wildly simple and don't match at all what was covered in the course. Downloading CSVs, manually uploading them into Big Query, merging them with some UNION ALL statements, and then downloading the resulting table is not a data pipeline. The project needs to be heavily developed or outright pulled from the course, as it's a major disappointment. The rest of the course content was much higher quality, and gave me a lot of new concepts to consider for how to ensure data quality. Now, as to how we actually perform those data quality checks, schema validations, and actually set up a proper pipeline, that doesn't actually exist in this course. It's all theory and no application.

Actually disappointed in this course. Doesn't really teach you anything beside a lot of theory. Lacks the practice side.

Not nearly enough hands-on examples. This is all just theoretical.

The Google Business Intelligence Certificate is a comprehensive program that offers in-depth training in various aspects of business intelligence. It covers essential topics such as Power BI, SQL spreadsheet, dashboard and report creation. The course emphasizes hands-on learning, providing participants with practical experience in data modeling, visualization, and analysis. The inclusion of a capstone project allows learners to apply their knowledge and skills to real-world scenarios. By completing this certificate, individuals gain the expertise needed to excel in the field of business intelligence and make data-driven decisions.

The Path to Insights: Data Models and Pipelines is a great course that provides a comprehensive overview of data modeling and ETL pipelines. The course is well-structured and easy to follow, and the instructors do a great job of explaining the concepts. I would highly recommend this course to anyone who is interested in learning more about data modeling and ETL pipelines.

The lecturer, Ed, was very professional and brought a high degree of solid confidence, and authority over the module topics.

The course was well designed and has easy flow between topics.

Overall, a good learning program about Data models, Pipelinea, ETL & ELT, Google Dataflow, Databases and related content. I enjoyed this course.

Very informative for an explanation of data models in relations to multi dimensional data models, data validation, schema validation and ETL, ELT Pipeline.

Thanks for google guru,m this is not about the course but about problem-solving and training the logic

Course materials [check], delivery [check], testing knowledge [check]. Thanks, Ed👏

Aborda mucha teoría útil. Quizá la parte más débil es el "Hands On" en cuanto a código

Some Videos had the low recording sound that I cannot hear clearly

Mucha teoría, mas casos.

A bid of boring

This teacher and course and both awesome. I was trying to learn about data models and data pipelines using many different and fragmented learning resources on platforms like Youtube and LinkedIn learning, but this course gave me the BI database information I was looking for this whole time. Ty Google and ty Ed.

It was a really good course. They go over ETL which stands for Extract, trasform and load. They also give you an opportunity to try out datasets by using google gloud. I think that inlcuding more animations about how ETL works would be much better to understand. Overall a really good course.

Wonderful learning , course 2 was even more better than the foundations in course 1, as got to learn the depths of BI, had a refresh learning older concepts(Data Analytics) with add on to the newer concepts here(Pipelines,ETL,ELT). Cant wait to explore whats in store in Course 3.

Hi, I'm a university student. I followed the course gain knowledge and to find a job. Instructors, Google, Coursera gave a great learning exposure. The course was perfect. Thank you you very much.

The course is comprehensive and well-structured. I like that the concepts aligned with the requirements I've seen on job listings for BI roles.

This course really helped me in understanding how a pool of data could help you uncover the unknown within business organisations.