学生对 Google 提供的 The Path to Insights: Data Models and Pipelines 的评价和反馈
课程概述
热门审阅
PA
Jul 20, 2024
well presented and easy to understand for beginners
OK
Apr 12, 2023
Course materials [check], delivery [check], testing knowledge [check]. Thanks, Ed👏
101 - The Path to Insights: Data Models and Pipelines 的 125 个评论(共 132 个)
创建者 Nafisath N B Y
•Aug 6, 2025
Good
创建者 Muhammad A S
•Apr 18, 2025
Bdbd
创建者 Kanishka K
•Dec 4, 2024
good
创建者 Umar A
•Jun 3, 2024
good
创建者 Umida X
•May 31, 2024
good
创建者 Marjona P
•May 31, 2024
good
创建者 Sabina J
•May 31, 2024
good
创建者 Rishikesh I
•Mar 3, 2024
Good
创建者 jessica a
•Dec 28, 2023
nice
创建者 Aurang Z K
•Dec 9, 2023
best
创建者 Guruh S
•Aug 19, 2023
good
创建者 TruongLQHE173043
•Nov 27, 2025
213
创建者 Jahongir
•Jun 2, 2024
5
创建者 Ronobir D
•May 31, 2024
Good course especially for the basics of using GCP from a practical perspective. But I really wish that for the activities or labs they would just use the Qwiklabs setup that's there for the Google Cloud courses instead of relying on either the sandbox or free trial. Google Cloud already has a system setup with Coursera so I don't know why they didn't leverage it for the labs here. I would recommend that before anyone takes this course already covers a course on Dimensional Modeling. On Coursera there's a CUBoulder couse on it. There's many youtube videos on it. There's great UDemy courses on it. Because it is way too quick for proper coverage here. I don't think that means you need to pick up and read all of Kimball although if you are someone who picks up more from books that might be better for you. But this class doesn't cover it in enough detail/too lightly. If you already have a Coursera Plus subscription I recommend checking out the Google Cloud Big Query for Data Analysts course and the Google Cloud Data Engineer course series to accompany this one. This course however has you do actual business cases and is very practical in that way instead of doing labs with toy examples that those classes go over. I also wish this class went over Dataform, Google's version of data build tool (dbt) for material on Transforms as part of ELT.
创建者 Thomas R
•Dec 28, 2023
Great course! A lot of good information about the foundations of pipelines and ETL Processes. Great intro to the different tools and Quality testing tasks we can perform to ensure our data is concise. But I would like you to recommend me best beginner courses related to SQL and Python in data management as well as a more profound course on how to use big query with more details behind SQL use and coding
创建者 Sibt-e- H
•Jun 30, 2023
It would have been great if you could increase the volume of the main instructor in this course. Additionally, I experienced some difficulties in understanding his accent compared to the instructor in the first course. However, he has been a wonderful guide throughout the course.
创建者 Cu p
•Oct 16, 2022
The instructor did an excellent job of explaining everything and making sure that we understood everything. The course was really engaging and well written out for the students to grasp.
创建者 Mahmoud A
•Jul 1, 2024
This course slightly depends on the first course in the Google Certificate, so there must be an announcement or hint for this point.
创建者 Jacobs
•Jul 22, 2023
Very insightful course, and a good refreshment. would have been nice to see more complex technical questions. recommended
创建者 David A
•May 29, 2023
Awesome from the theory point, however lacking when it comes to tools usage.
创建者 Raef A
•Oct 16, 2022
Course packed with new knowledge but challenging for beginners
创建者 Munawar W
•Jul 10, 2025
A Comprehensive course on Insights to data models & pipelines
创建者 David P
•Oct 18, 2022
learning the fundamentals of the pipe line was great.
创建者 Tejas D
•Oct 10, 2023
very much good
创建者 Zeng Y
•Aug 2, 2023
.