Learner Reviews & Feedback for Google Cloud Platform Big Data and Machine Learning Fundamentals by Google Cloud

trop guidé dans les TP

Some labs are buggy.

Muy bueno el curso

Good introductory.

Very fundamental.

Good Experience

no challenging!

Intermediate

Too basic

not bad

good

I did not have a good experience with this course and wanted to provide this feedback to the team. From an educational standpoint, I could see the intention to create meaningful projects and provide hands-on experience. The videos are easy to watch and the instructors seem genuinely happy to record them. From a delivery standpoint however, that is not done very well. I had difficulty operating the labs, mainly with Cloud Shell being stuck at provisioning step indefinitely. When that is the first part of the lab, it stops you right on your tracks immediately. Even in the one case where it worked however, I could not understand the reasoning behind a timed lab. Isn't this supposed to be an opportunity to explore all the impressive capabilities of GCP? Having a timer, just forces you to go through the steps, copy-pasting the SQL queries and answering the questions, in which case I would've been happy to watch a screencast instead. With the setup processing being a hit-or-miss, wouldn't a single temporary account be better, so that the students would only have to set up the environment once? If anything, that would be a tremendous learning experience, to go through the steps of setting up everything carefully, just like setting up a local development environment. There is a lot of room for improvement in this course, especially being the first one in the specialization.

Good overview of all the services, but I could have read it just from the service list, and all the labs can be done without watching this course. There is no barely any information about machine learning, except for a small Tensorflow playground overview and copy pasting Python to Datalab. But this negative comment is only because I was expecting it to be a bit more comprehensive, for someone who has no previous information about any of the subjects, this can be a good introduction.

This course was all over the place. I signed up to do the GCP Data Engineering course, and this was a HIGH level intro. that also jumped randomly into ML without giving a whole lot of insight into the actual. GCP env. They skimmed over 90% of what an actual project would consist of-- data cleansing, ETL, data insight, etc. There didn't seem like there was a cohesive plan on what they were covering.

comparing to other Coursera courses this one lagged behind. Unpolished videos, too much time spent on the promotional aspects of GCP, and the examples given were more of a demonstration in a style of follow me. Adding to it my expectations that Google should outperform, I was quite disappointed. However, the content was important for me and I don't regret taking the course.

While majority of what you do is available free on Google Cloud developers page this course does not offer much more. You are probably paying for the certificate you get upon completion . Also the quizzes are not real as there is a follow up video to answer them all again. I wish it was much more challenging

The course wasn't challenging at all. The videos/tests/activities did no required any effort to complete, no study required, only copy and paste. It actually looked more like a technical/sales long presentation of Google platform.

The instructor is not clear. I tried to understand some definition with reading transcript, still cannot understand what he is talking about. The courses are not organized well. Some course titles are not good.

I expected the course to cover more ground on the Google Cloud Platform, especially given the price tag. You get to dip your toes in different tools Google offers, and some examples can be a little out of date.

As an IT project manager, I was hoping to spend valuable time on Google big data and cloud computing fundamentals to aid me in my work as a project manager.

I didn't like to do hand on labs!

I enjoyed the lectures from Carolyn Ujcic the best. Out of all the instructors, she was the only one who made me feel like I was learning something from these crypto-marketing videos.

for video, tall too much but not efficent enough; for the lab, i cannot understand why it has so many repeat steps, why cannot just put those similiar lab into one.

The basic fundamentals in this module#1 is ok, but gets very arcane as it progresses. Need before and after screen shots for every lab step, lacking details.

I was really only interested in data engineering. This course is pre-requirement for the Data engineering spec and i had to go through a lot of ML content.

Most of the materials of this course can be freely found con Google Codelabs. If it was 50% off maybe it could be worth a shot but not at the 55$ pricetag.