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

4.8
stars
16,220 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. - Learn AI skills from Google experts to help complete data analytics tasks....

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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2526 - 2550 of 2,644 Reviews for Google Data Analytics Capstone: Complete a Case Study

By Jaya B G

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Nov 11, 2022

Good

By MUTHUKRISHNAN S

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Oct 15, 2022

good

By VYSHNAV S

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Aug 8, 2022

nice

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Aug 1, 2022

good

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Jul 6, 2022

Good

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Oct 29, 2021

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Apr 18, 2024

98%

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Mar 5, 2023

ntg

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Nov 13, 2022

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Oct 28, 2022

NO

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Jun 26, 2022

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Sep 23, 2024

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May 23, 2023

no

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Oct 26, 2022

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Aug 2, 2022

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Mar 25, 2022

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Sep 22, 2023

4

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Jan 24, 2023

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By Deleted A

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Jun 9, 2022

This review is for all eight sections of the Google data analytics course. Overall I learned some things. There's a lot of repetition of unnecessary things with lack of repetition of the things I wish were repeated. There is contradicting advice throughout the program. The questions for the practice test and quizzes are written very much like the DMV writes their questions meant to confuse you and you will get it wrong if you do not get it exactly the way they say it. Using common logic to answer any of the questions will get you a wrong answer because logic is not included in the answers it is simply about regurgitating what they said to you in the videos word for word. When you get answers wrong sometimes they will give you the correct answer and other times they will just point you towards a video that may contain the correct answer which is not as helpful as they think it is. When you retake the test a lot of times they will give you the same exact questions but move one word or change which part you are guessing the blank of. I'm assuming they do this thinking that this is better than just giving you the exact same questions with the exact same answers in the exact same order so that you aren't just mindlessly taking these test again to get the correct answer and get 100% to move on but I don't think anybody who's signing up for a course that is self guided and taking it is going to do something like that. Why would anybody sign up for a course just to click through it and not actually learn /comprehend anything? I think there's a lack of understanding who the consumer is. Then they have a lot of questions that are multiple choice answer but the multiple choices are not two are right and two are wrong it's more like two are right and one could be right depending on who is reading it and one is definitely wrong and if you click on the one that could be right you are not only going to be marked incorrect but most likely will fail the entire test considering sometimes there's only three questions per test and you have to get at least 80% to pass. I think anybody writing multiple choice questions should ensure that the wrong answers are 100% wrong. Multiple times they talked about attributes also known as headers in a spreadsheet in the videos it was referred to as a header if you look on excel spreadsheets it is literally called a header in logic we would all Collett a header but in the quiz questions you had to click attribute in order to get it right and I just think if you're going to make it a corner stone quiz question then you should go out of your way when calling it a header to say also known as an attribute. This wasn't the only time this happened with a vocabulary word but the one that annoyed me enough that it's stuck in my brain for this example. Towards the end they have some great videos that are really easy to follow along with an explain code specifically in R. If more of the videos were like those ones it would've been a phenomenal course. And then they have several videos that just feel completely unnecessary or dragged out too long where other ones that I felt had extremely important information were rushed and shortened. There was a video that said they were going to give you tips and there wasn't a single tip in the video it was just repeated best practices that we had already heard about multiple times so I also think there's an issue with labeling the videos with titles that actually makes sense instead of making them feel Clickbaity. Also they have issues with their sound as they weren't using mics on most of the speakers and so the speakers were screaming and others wouldn't scream so you could barely hear them even at full volume. Overall I did learn some new things that I didn't know about data. I had no formal training in data before this course but I did explore data on my own as a special interest.