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Learner Reviews & Feedback for Google Advanced Data Analytics Capstone by Google

4.9
stars
548 ratings

About the Course

You’re almost there! This is the seventh and final course of the Google Advanced Data Analytics Certificate. In this course, you have the opportunity to complete an optional capstone project that includes key concepts from each of the six preceding courses. During this capstone project, you'll use your new skills and knowledge to develop data-driven insights for a specific business problem. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Create and/or update your resume -Create and/or update your professional portfolio -Develop a data frame -Compose data visualizations -Use statistics to analyze and interpret data -Build, interpret, and evaluate regression models -Utilize machine learning techniques in Python...

Top reviews

KB

Aug 28, 2023

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!

JH

Jul 22, 2023

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.

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1 - 25 of 92 Reviews for Google Advanced Data Analytics Capstone

By Konrad S

•

Apr 21, 2023

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.

By Ehtisham U

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Jul 4, 2023

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.

By Saeed V

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Dec 14, 2023

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.

By Alemayehu D

•

Dec 1, 2023

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.

By Jim H

•

Jul 23, 2023

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.

By steven h

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Aug 4, 2023

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.

By S M G A N

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Aug 4, 2023

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!

By Gilbert B

•

Jul 19, 2023

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.

By Akachukwu E

•

Mar 30, 2024

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,

By Suraj K

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Jul 20, 2023

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.

By Mukesh K M

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Jul 3, 2023

Here we learn basic to adv level of data analytical process through these 6 courses and at the end there is a capestone project where we gathered all the skill that we learned previously in one place in that project

By Mehri M

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Feb 29, 2024

The capstone was almost a comprehensive survey of the material that I learned in this course. The examplar helped us to find a measure to compare our work with it and broaden our view about the solution.

By Kobe B

•

Aug 29, 2023

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!

By NSADA J

•

Mar 24, 2024

The course content is well structured and taught by experienced instructors in the field. I recommend the course to any one who wants to level up his/her data analytics skill set.

By Albert L

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Apr 20, 2024

Die bestmögliche Art und Weise, Wissen zu 100% remote zu vermitteln. Klare Empfehlung dieses Kurses für jeden, der in die Welt der Datenanalyse einsteigen möchte.

By mian t s

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Aug 20, 2023

The best course for anyone who wants to be a data professional though the course is not easy and it really takes a lot of time to understand and progress in it.

By Kanza N

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Nov 29, 2023

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

By brock j

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Sep 14, 2023

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.

By Edward A

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Dec 16, 2022

Great course for anyone that wants to Excel in data analytics. You will learn a lot including portfolio and capstone projects

By Eiraj A

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Sep 11, 2023

excelent course for developing skills on EDA process and good start on creating machine learning models that fits the data.

By Swaraj S D

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Mar 20, 2024

The project could have been reviewed so that it would be better but overall the quality of the project was top notch.

By Burhanudin B

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Jan 12, 2024

I am very grateful to the instructor who in this course provides detailed steps for building a data analysis project

By bounphet t

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Apr 15, 2023

great course, recommend for everyone who is interested in data analyst field. thank you Coursera and Google team

By Trung N P

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Feb 7, 2024

I’m so grateful for the excellence, well crafted and clearly delivered career-oriented course you have offered.

By Rishabh T

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Nov 5, 2023

it was good but machine learning modules can be more interesting with much more graphics and code examples