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Learner Reviews & Feedback for Go Beyond the Numbers: Translate Data into Insights by Google

4.7
stars
749 ratings

About the Course

This is the third of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll learn how to find the story within data
and tell that story in a compelling way. You'll discover how data professionals use storytelling to better understand their data and communicate
key insights to teammates and stakeholders. You'll also practice exploratory data analysis and learn how to create effective data visualizations.
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 build your data analytics skills to prepare for your caree...
...

Top reviews

JM

Aug 22, 2023

Very Helpful Course! The storytell methods described are really helpful to me. I have always had an issue with getting my point across but now I know where my problem was and have corrected it.

RR

Sep 15, 2023

I really enjoyed this and look forward to going deeper into this. This course touched the basics...but they touched the right basics and have made me WANT to do more on my own.

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101 - 119 of 119 Reviews for Go Beyond the Numbers: Translate Data into Insights

By Ertugrul G

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Aug 20, 2024

a

By Carlos C

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Jan 17, 2024

Positive: - The instructor is very clear in what he teaches and clearly explains when we're not supposed to know how to do things. - The parts that implement repetition in labs are extremely helpful and should be reinforced more. Having to convert things to datetime multiple times cements the structure a lot more easily. - Despite my criticisms (below) on the order information is presented at times, I do think I learned a lot. Negatives: - Once again you go into labs and are asked to use tools you haven't learned. Why am I introduced to things after having to find what to use in a lab? Parts of the reference guide for Python in Module 3 for "How to handle outliers" should have been presented earlier in the course. Some tools aren't taught at all and are expected to be found in the links to manuals provided throughout the lessons (which honestly are not very intuitive). - The labs are where I learn the most, but it takes me a lot longer than 1hr as a person who is new to Python and programming in general. There should be more emphasis on these. If you want people to figure out a solution with tools that haven't been presented, you should clearly outline that in the instructions during the different steps of the lab. It is deflating to wrack your brain trying to find a solution and then learn that it was not in the tools you've been taught so far, but not being told whether you should have explored outside of your taught knowledge. - During the Tableau presentation the instructor doesn't specify to change number of strikes to a dimension. It might be easy to miss the step.

By prateek v

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Apr 7, 2024

The content is exceptional. Coding in Jupyter notebook is quite good. However, I do think a review of contents could be done. There are times instructor missed to emphasize on important things, had to find answers in discussion forum. There are multiple instances where the video slightly differs from follow along guide. At some places the indexing within modules doesn't make sense. I preferred the previous Course where everything was much more organized. Where needed video would have a prompt to open follow along guide and navigate to specific section. Makes it much more convenient. I hope someone from the team reviews the contents once and fix these issues

By CHONG L

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Jun 1, 2023

The videos in this course are longer and harder to follow than the previous ones. The purpose of some of the EDA processes is hard to understand. I think they will become clear in the machine learning state. The instructor used many analogies to help understanding.

By Russell E B

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Jun 30, 2024

This is a pretty good course. The quizzes are a bit easy. And even though the Specialization has "Advanced" in title, it is not all that advanced. But I recommend it to get started after completing the "Data Analytics" Specialization from Google.

By Max T R

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Jun 13, 2023

Overall great materials, just a little bit too rushed and cramped, especially in python coding. As a beginner in python it's quite hard to follow along and the lab exemplar sometimes they're just too advanced.

By Benjamin M

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Jul 7, 2024

The content is very thorough, and the presenter was very professional and clear. I wish the audio on the videos were 300% louder -- I could barely hear most of them.

By Redem P

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Nov 20, 2022

Two thumbs up! An insightful and well constructed course. Authentically useful in furthering one's competence in the practice of Data Science.

By Errol A L

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Aug 6, 2023

The Course was good. Tableau was excellent. Only the Python coding was way too much and a chaos. The build up was confusing.

By Muhammad Z b I

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Oct 16, 2023

A new perspective; to clean the data, to data storytelling, to visualize and to handle outlier carefully

By Asfand Y T

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Jan 23, 2024

Its a great course with alot of details in it. You need alot of practice to cover this material.

By Fernando E M M

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Apr 30, 2023

Good work in the course, you always learn new things.

By Safwt A

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Apr 20, 2023

Great content but difficult to master.

By Krich N

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Sep 15, 2023

Have fun using python

By Craig S M

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Oct 7, 2023

Good

By Shaikha

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Aug 20, 2024

d

By fatma s

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May 19, 2024

I am a complete beginner at python, I struggled a lot. I think it is better to at least have some experience in python. But in overall the course is too informative and full of worthy to take

By Harsh B

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Jul 23, 2024

The Waze Scenario project was challenging and tough for me as the concepts were not taught in detail throughout the course.

By Khobpong W

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Sep 2, 2024

There is no certificate given, after I already finished this course