This course focused on interpersonal skills and a structured PACE analysis activity. The videos were accessible, done by engaging instructors who were 'TV-ready' - great eye contact, speech patterns and teachers. There were additional lessons and interviews with data professionals that were interesting by bloated the time needed to complete this course. Inspite of having good instructors, the course seemed to lack focus at times, and some topics were revisited multiple times, even after demonstrating competency. It was fustrating in the discusson forums to see some students completing assignments while others just entered a single word instead of uploading a document in order to pass out of the assignments. It makes on question the value of the certificate. Moreover, the instructions often required you to revisit assignments and be quizzed on the same interpersonal skill and project management ideas you had demonstrated proficiency in. This wasn't done as a stepping stone to another source of information, but was just done in a way that was, at time, painfully redundant. I am a woman and I appreciate having women as instructors in this industry. That being said, only having women as the instructors in lessons on 'soft skills' may have been inclusive but signaled that being able to communicate, plan and work with colleagues professionally was not something men value. It came off, at times, like having a lot of women in HR positions lecturing you. Based on the slow and repetitive nature of the material, I couldn't recommend this course in it's current format.

Although this course is part of the Advanced Data Analytics certificate program, it felt much too introductory. Way too much redundant readings. If you are already in the industry (which this certificate is marketed towards), I would skip this course.

Being an supposedly advanced course this course is a disappointment. It s a motivational course with zero to none applicable knowledge. What I learned is , everyone is beautiful, half of the staff from google seems to have imposter syndrome and google is very ethical. Thx for that info

This course was a bit misleading as it's more of a "communications" course, than "data science". There should be an option to bypass this course for those of us who have work experience and for those of us who are merely looking to benefit from the technical aspects of the Certificate.

Most of the material seems unnecessary and out of place in an advanced program.

In this course i gain a deep knowledge about what is data science and what are all the other names, fields related with data science. How we use data to gain insights from the model.

This was a very useful course. I was pleasantly surprised by the type of content and the way it made me think. I am used to studying technical content, so this was a welcome change.

This course is neither advanced nor does it provide any "foundations of data science. Apparently, it adresses 16-year old high school students with no background information whatsoever and 80% of it are about your "future career path", "how to behave in job interviews" etc. The course title and description are highly misleading. It mostly benefits Google and it's ridiculous you're even supposed to pay money for its content. I've completed about 25 MOOCs, and this one has been by far the worst one I've ever taken.

interesting course outline and assessments given. and i also commend our various course instructors throughout our learning process for thei words of encouragement. thanks.

I love the course very much, it provides everything needed to get started with a data science project and proper communication with both the data teams and stakeholders.

Misleading title. MAKE SURE YOU READ THE COURSE MODULES IF YOU'RE TAKING THIS AS A STAND-ALONE COURSE. "Foundations of Data Science".. more like "Foundations of Project Management FOR Data Science". Guess it wasn't a bad course, and I'm only taking it because it's part of the Advanced Data Analysis Certificate BUT this course didn't really delve into any foundations related to Data Science. A lot of the information felt redundant and repetitive; didn't really feel like an "advanced" course IMO and didn't build off of anything taught in the prior Data Analysis Certificate (which was Beginner). For example, I know what a portfolio is. This course is more geared towards how to manage a data professional project. Overall, quite disappointed with this course only because the title is misleading. I do NOT recommend this course if you are taking it by itself.

This is a very good refresher + new course material for someone who has already completed the Google Data Science course. Looking forward to the next course

I loved this class. I think this class may be getting slightly lower rating because it focuses less on technical skills like the other courses do. However, this make sense because this is the intro course to the certificate program. Also, the importance of communication skills cannot be overstated. I just started a job as a data analyst at a hospital system, and the communication advice is coming in very handy as I adjust to the new time. The material is invaluable, and I enjoyed hearing the instructors voice (it's soothing).

It was way too introductory and nothing concrete/real was taught . Needs improvement.

Fairly light on content.

I am writing this review and I hope it helps you. For those who are coming from Google Data Analytics like me , I will disappoint you this specialization is totally a miss, I am currently at Course 7 (Capstone) , Every course I attend I say between me and my self it will get better but it wont. 1. This specialization doesn't focus on theoretical concept nor the technical , to many concepts were mentioned without a deep or even a good explanation, and on the other hand the lab videos which covers python are too short 2. Most of the Instructor are just reading the script without any effort to explain or add some enthusiasm in the explanation 3. The structure of courses is weird : First course is a miss , it is the instructor repeating the same thing about the strategy PACE Second Course : It is fine but it is not the best to learn python from Third Course : This course could be finished with less modules and works, Many important Visualization graphs were not mentioned Fourth Course : This course is not bad if you already have a background in Stats and Probability , but if you don't you will suffer(They mentioned too many concepts yet they didn't explain them the way they should)( Fifth course: Is by far the worst , concepts were covered doesn't align with how the course worked , the instructor is just a robot reading the script , (And we continue with the same problem , to many concepts mentioned , yet the explanation was not enough) Sixth course : It talks about ML and I feel it is weird and different from other ML courses (I would say there are many other courses far better in explaining ML other than this)

It tooks too much to start learnin something. I am an engineer but did not spend too much time in data science before, altough i achieved to pass all graded assignments with general knowledge. all Course could be a reading material or a 10 to 15 minutes video. Definetly does not deserved to be part of an advanced level course. Could be helpfull in beginner level or people who wants to know what is data science mean. for future convienence please erase or update these part

This course provided a solid foundation in the key concepts and workflow of data science, especially through the PACE (Plan, Analyze, Construct, Execute) framework. I appreciated the structured approach to problem-solving and how each task was broken down into manageable stages. The hands-on activities, particularly the Automatidata project, allowed me to apply what I learned in a realistic scenario. It helped strengthen my understanding of planning, cleaning, analyzing data, and communicating results effectively. Overall, this course helped me build confidence in my data science skills and gave me practical experience I can include in my portfolio. I’m looking forward to building on this knowledge in the next courses.

I love this approach of having a project in every of the 7 courses, that will come together to form that final capstone! As someone who just completed the DA Cert, I can feel the commonalities and differences between DA and ADA and how this current one is indeed 'advanced'. In this first course itself, I have already dived into Data Science and learned a lot about the different data professionals that exist. I find this kind of information very meaningful if I were to enter this career field.

66% of the course has complete but no practical skill has been imparted. Major emphasis is laid on generic knowledge of Data analytics career, preparation of interview and Communication. I enrolled in course to learn Statistics, Python and other programing knowledge but still waiting for the same even after 2/3 (66%) of the course.