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Learner Reviews & Feedback for Google Data Analytics Capstone: Complete a Case Study by Google

4.8
stars
13,753 ratings

About the Course

This course is the eighth and final course in the Google Data Analytics Certificate. You’ll have the opportunity to complete a case study, which will help prepare you for your data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose an analytics-based scenario. You’ll then ask questions, prepare, process, analyze, visualize and act on the data from the scenario. You’ll also learn about useful job hunting skills, common interview questions and responses, and materials to build a portfolio online. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Learn the benefits and uses of case studies and portfolios in the job search. - Explore real world job interview scenarios and common interview questions. - Discover how case studies can be a part of the job interview process. - Examine and consider different case study scenarios. - Have the chance to complete your own case study for your portfolio....

Top reviews

JT

May 12, 2023

Excellent course. Highly recommended. Teaches the latest technologies and provides real work experiences. Already leveraging some of the things I have learned in my current role as a business analyst.

KN

Nov 10, 2022

An elevator pitch gives potential employers a quick, high-level understanding of your professional experience. What are the key considerations when creating an elevator pitch? Select all that apply.

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376 - 400 of 2,253 Reviews for Google Data Analytics Capstone: Complete a Case Study

By Stefan M

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Dec 16, 2021

Amazing course that covers all the basics in SQL, R, Tableau, Excel and Sheets. But also the theoretical part of analysis and sharing results.

By MUNIR S O

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Sep 15, 2021

Amazing! In this course we were able to put all of our hard woks into a solution of real-world problems through the completion of case study.

By Rafael A

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Jul 25, 2023

A basic but well written data analytics course. After years working on data science field I really

recommend for beginners and professionals.

By Carlos R

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Dec 12, 2022

Este progrmames de mucha ayuda y de mucho valor para las persobas que desean aprender esta habilidad o reforsar sus conocimientos en el area.

By Mithila K

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May 10, 2022

Loved this course! It helped me brush up the SQL concepts and helped me upsill in a few more areas like Data visualisation tool like Tableau.

By Cheikh B

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Jun 30, 2021

Amazing course i learned many things that will help me to be a good data analyst. Thant you Google and Coursera for this great Specialization

By Carlos E D R M

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Aug 30, 2022

Amazing course.

Only thing to make it better is maybe forcing cooperative work within the network. Bringing same language speakers together.

By Eisa M

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Jan 12, 2023

This is really a great program. I would highly recommend it for those who are keen to build a solid foundation for their analytics journey.

By Sarah G

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Dec 29, 2022

Excellent program. I would rather they taught python instead of R. However overall excellent Certification program. I highly recommend it.

By Giridharan V

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Dec 26, 2021

The course was very well structured and gave a good understanding of what data is and how we can use data to make the world a better place

By Karla M

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Aug 20, 2021

Really covers the basics and great notes of visualization. I also loved exploring more of R and SQL. I had fun doing my capstone project !

By Cesar A M S

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Nov 25, 2022

This was not easy nor fast for me. But really useful and gratifying.

These have really made a good job with this course, totally worth it.

By Mirabela F G

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Jun 29, 2022

this was an amazing way of learning new skills and finding if data analitics is the ideal job for me, thank you Coursera, you are amazing

By Sheila R

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Mar 11, 2022

I loved the video, was able to take my own notes, and scroll down to review the typed text of the video. Great learning tool!! thank you

By Clinton T P

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Aug 15, 2022

An excellent and important part of your journey in Data Analytics that will help you gain confidence on all the skills you have learned.

By Fatih E A

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Jan 19, 2022

I cannot show you here how much I appreciate for anyone who has prepared this course. This course was simply amazing! Thank you so much!

By Stanislav O

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Jan 16, 2022

This is a good practice and actually a fun! It took me four weeks to finish it, but I was really happy and satisfied when I finished it!

By Gagan S

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Jan 25, 2022

Thank you everyone for building such a descriptive course. Please include more hands on activity on Date time conversions . Thank you !

By Holly G

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Feb 11, 2024

Exceptional! The instructors are knowledgeable and present the material in a way that reinforces understanding and answers questions.

By jagadeesh k

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Aug 27, 2023

Excellent course which was easily explained. Have given a good opportunity to refresh and relearn so me of the concepts like SQL and R

By snc4278

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Oct 6, 2022

I enjoyed this course. Lots of interesting material was covered and the instructors dept it interesting and fresh as well as concise.

By Ismail B

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Feb 10, 2022

Great journey with capstone experience to inter the community of data analysis and start my first share .Thanks Google,Thanks Coursera

By Dorian M

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May 29, 2023

Great course! Very thorough coverage of data analytics and a variety of free tools that you can use in future jobs as a data analyst!

By Nwanze J

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May 27, 2023

The Course provided a good insight into the field of data analytics and provides training to aid beginners to explore data analytics.

By Andres P R

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Jul 21, 2021

This was a good experience. I just wish there could be more collaboration between students but that isn't google or coursera's fault.