Honestly, the course started very well. From segment 4 to 6, you exaggerated on the technicality and completely lost me. I have an engineering background and got absolutely bored halfway through. On youtube there are channels that talk about these mathematical and statistical subjects in a very fun way, and easier to understand. These classes manage to get me more confused about topics I already was confident about. Don't get me wrong, the course is interesting. It just conflicts with what you say when it comes to explaining something to stakeholders: make it simple, without complex terminology. And I understand that statistics comes with complex terminology almost inevitably, but you did not manage to explain it in a simple way. Too many examples with "biology" or random things that don't reflect on business scenarios. Only a few of them actually reflected the industry reality.

The only part i did not like, is the very final stage where you are required to sign up to services you may not wish to. This is very poor in my opinion. Other than that there is some good content well presented. i would rate the course higher if it was not for the nonsense of registering for additional services.

What a journey. Well paced, well taught, neither too detailed nor too simplified, and with interactive Jupiter notebooks and projects, it delivered everything I expected and more. As a Controls engineer I deal with system identification, modeling, parameter estimation, prediction and control problems confidently, but I had a bit of hesitation when it comes to ML modeling and prediction. I decided to start with this specialization in data analysis, as it is the foundational step of the whole process. This course provided me with new tools and triggered ideas to tackle engineering problems I worked on in the past with a new approach. Thank you to all teachers and the team who made this happen. Really happy to finish it, and excited to apply this new knowledge in my own work, and keep learning just for the fun of it as well. Thank you.

The project was developed with a high level of professionalism. It wasn't just a coding class with libraries; it was a well-designed course that provided insight into real-world challenges. The course covered topics such as data cleaning for missing values and duplicates, selecting appropriate models, training and evaluating models, and presenting model results to stakeholders.

What sets this course apart is its structured learning approach coupled with expert guidance. The instructors were not just educators but mentors, guiding me through each module with clarity and enthusiasm. The real-world projects and case studies ensured that I wasn't just accumulating theoretical knowledge but applying it in scenarios that mirrored industry challenges.

Excellent course that builds foundational skills in data analysis, PACE strategies, EDA, regression analysis, and introductory machine learning principles. Very much worth the time investment.

I am thankful to google for such a nice course on Data Analytics and Data Science. I got so much depth understanding about both of these domains. I would suggest to make courses on deep learning, natural language processing and computer Vision.

Extremely insightful and very well organized. I had some knowledge in Data Analytics but this advanced course truly taught me new skills and the approach was very friendly. Great work and thank you!

it was an interactive and self-paced learning experience, an excellent resource for anyone seeking to enhance their skills in data analytics.

I learned a great deal. This is a well-designed online course. I'd highly recommend it to others seeking an entry point into the data realm.

I thoroughly relished the Google Advanced Data Analytics Capstone course on Coursera! The capstone project presented a splendid opportunity to apply the profound knowledge and skills acquired throughout the specialization. The incorporation of a real-world dataset bestowed a formidable yet gratifying experience, enabling the resolution of intricate data analytics challenges. The course content exhibited meticulous organization, and the instructors demonstrated adeptness in articulating the concepts with crystal clarity. The hands-on labs and assignments proved immensely beneficial in cementing my comprehension of diverse data analytics techniques and tools. An exemplary aspect that truly shone was the unwavering support provided by the course staff and the Coursera community. Whenever I encountered obstacles or queries, the staff displayed remarkable responsiveness, proffering invaluable guidance. Furthermore, the capstone project afforded me an exquisite platform to demonstrate my adeptness in data analysis and visualization, confidently bolstering my portfolio for potential data analytics roles. In sum, the Google Advanced Data Analytics Capstone course bestowed an enriching and delightful voyage. I now exude a heightened sense of assurance in my data analytics acumen and eagerly anticipate applying these formidable skills in real-world settings. My heartfelt gratitude to Google and Coursera for providing such an exceptional and top-tier course!

I enrolled in this course because I wanted to deepen my knowledge and develop a stronger skill set in this field. The course has been invaluable in helping me achieve that goal. It not only expanded my understanding of the subject but also equipped me with practical tools and methods that I can apply in real-world scenarios. One of the things I truly loved about the course was how it was taught. The structure was so well-organized, and I really appreciated how complex topics were broken down into manageable, easy-to-understand pieces. Your teaching style, which combines clear explanations with interactive discussions and hands-on activities, made the learning process both engaging and rewarding. The balance of theory and practice really helped solidify my understanding. What I loved most was the way you encouraged us to think critically and apply what we learned immediately. The real-world examples and case studies you incorporated into lessons were especially helpful, and I feel much more confident in my ability to tackle similar challenges in the future. Thank you again for an amazing learning experience. I’ve gained a lot from this course, and I’m excited to continue building on what I’ve learned! Warm regards, Rennie Ramlochan

This last course, Google Advanced Data Analytics Capstone, involved doing a project which required applying skills learned in previous 6 courses of this certificate program. This capstone project was a good opportunity to use PACE framework methodology, importing libraries/ packages to do specific tasks, cleaning dataset file using EDA, applying specific Machine Learning model using Python and few other skills.

thank you for being part of this learning journey. The pursuit of knowledge is a lifelong adventure, and I'm glad of being part of this and assist me along the way, thank you for giving knowledge where empowering and opens doors to endless possibilities. Keep helping, keep growing, and never stop providing learning. materials for those who are in need.

this course is very up to date. by that it makes ready and prepared for job roles in data analytics. thank you so much #techxtramile. without you guys I would never have seen the day light in becoming a Google Advanced Data Analytics professional. thanks #coursera the learning process was seamless. thank to #Google. you guys made it real,

The Google Advanced Data Analytics Certificate is a well-rounded, hands-on program that helps learners build the skills and confidence to thrive in the fast-paced field of data analytics. Whether you’re looking to advance your career, switch into analytics, or boost your professional toolkit, this course is a worthwhile investment.

This is a comprehensive Data Analytics course for who wants to add new skill to themselves. When I complete this course, I was a holder of Master's in Data Analytics. I can say that this course has a lot of potential to be a part of the traditional education methods easily. Thanks for this chance!

This course is very useful for those who are already in Data Analytics and confirms what you already know and teaches you more. Found it especially useful for the segment on Machine Learning. A good introduction, but not enough to make you a Specialist in ML

This was a very interesting course for me Now I am competent in exploring large datasets, applying data analysis techniques, and building models to extract insights. They are also competent in machine learning, predictive modeling, and statistics

I increased my data analytics skill sets tremendously utiltlizing framework methodolgies and the power of the many built-in libraries and features such as; EDA, PACE, python, pandas, numpy, scipy, matplotlib, seaborn, plotly and sci-kit learn