Chevron Left
Back to Prepare Data for Exploration

Learner Reviews & Feedback for Prepare Data for Exploration by Google

4.8
stars
20,310 ratings

About the Course

This is the third course in the Google Data Analytics Certificate. As you continue to build on your understanding of the topics from the first two courses, you’ll be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives, and how to organize and protect your data. 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: - Find out how analysts decide what data to collect for analysis. - Learn about structured and unstructured data, data types, and data formats. - Discover how to identify different types of bias in data to help ensure data credibility. - Explore how analysts use spreadsheets and SQL within databases and data sets. - Examine open data and the relationship between, and importance of, data ethics and data privacy. - Gain an understanding of how to access databases and extract, filter, and sort the data they contain. - Learn best practices for organizing data and keeping it secure....

Top reviews

MG

Invalid date

I love how the course it's not limited to teach about the technical skills of a data analyst professional, but it also helps you discover some soft skills that make you a better human resource.

RL

Invalid date

Excellent course that provides a robust introduction to working with databases with Google sheets and SQL. Covers bias and data privacy as well. Gives clear definitions and is well taught and paced.

Filter by:

2601 - 2625 of 3,209 Reviews for Prepare Data for Exploration

By Kareem S

Oct 7, 2023

I enjoyed the course very much, great instructor. I didn't enjoy what I can call "the political part" of this course. Overall I learned lots of new things about SQL, other than that almost all of the course content was pretty basic, and a lot of data politics.

By Ginel A

Oct 6, 2021

The course on BigQuery was not very accurate. Even though the site is frequently updated. Following the instruction in the video and getting an error message can be confusing. You don't know if you're making the mistake or if the instructions are not accurate.

By Trevor M

Oct 6, 2022

This course was very well done! My only complaint was the mismatching between my screen on BigQuery and the videos. I know the website was updated, but it was tough tracking at times! I also would have love more on the excel/ sheets side of data preperation.

By Debopriya.

Jun 18, 2024

Some things could have been better like doing something that keeps the interest rather than making it boring by forcefully dragging the same thing over and over again, clarifying some of the questions and the wrong answers in the quizzes to avoid confusions.

By Stuart T

Aug 15, 2021

Its good but not excellent. This course needs a larger emphasis on SQL and less on spreadsheets. I'm not sure how prevalent Google Sheets are in the industry but I bet SQL is a more valuable skill.

I did like the soft sills part at the end. Bookmarked.

By MUSTAFA A

Mar 23, 2023

I learned and got introduced to many new things other than basic SQL queries which I already knew. this course also focused on career development and teaching how to effectively be present online and get tconnected with people. nice course.

By HAWAWU N

Aug 2, 2022

It has been an exciting journey learning and gaining skills like spreadsheets, SQL, metadata, Data Ethics and Data collection. The intructor was a bit fast in some of the topics but all in all i got a hang of it and Hurray!!!! i have passed.

By 김민수

Feb 17, 2023

It was a shame that the example materials this course offered were outdated. And it feels like the course only scratched the surface of some info about Kaggle and Bigquery.

It would be better if the instructor talked a little bit slower.

By Pablo

Apr 7, 2022

I enjoyed the introduction to technical aspects such as using SQL and joining Kaggle, but found the less technical lessons to be too centered on just defining a few terms, especially since some of the definitions given are questionable.

By Jacob T

Nov 21, 2022

The instructor for this course was very knowledgeable about the subject matter. However, the section regarding BigQuery needs updated with the new interface and new datasets to work with since the Noaa database was no longer usable.

By Rutuja D

Jul 22, 2023

It was really good to learn about data and data analytic . i am excited to know more about data analytic. This course has interest mee to know more about data analytic... thank you! for nice explanation in course. thank you!😊

By Muhammad T F

Sep 3, 2022

It was my first online course. The content of course is quite good and the way to teaching was amazing. I strongy recomend that everyone should go with this course if he or she want to enhance their skills as a data analyst

By MYNK

Sep 25, 2022

The course would've been better if the Bigquery database questions were updated regularly, as I encountered a task in Week 3 which used a public dataset which is no longer usable in the public dataset directory of Bigquery

By Gillian G

Oct 8, 2023

I would like them to go a little deeper into the subjects and separate the themes from their contextualization a little more. Sometimes the story glosses over the main subject a little. This makes the course a bit tiring.

By Hernando O

Jun 7, 2023

The instructions and content in the practice of SQL, week 4, were outdated. The course should re-make this activities, practices and guides to ensure that everything is according to the instructions of the platform.

By Preena M

Sep 22, 2022

For me it was an entirely new topic.But after this course I have learnt so many new topics that will help me acheive my career goals.Thank you Google and Coursera community for the opportunity you have given.

By Clare

Apr 15, 2022

Very useful information, however, sometimes while following along in my own account on a data website, I am unable to do a certain task and I am not sure how to ask for help or continue practicing on my own.

By Erastus W

Nov 21, 2022

I have learnt interesting concepts such as SQL , working with Big query , different data types and sources and how to better sort and filter data to ensure that am only working with the required data set.

By Badmus N O

Aug 11, 2022

it contains all neccessary tools, learning materials|aids required to become a data analyst. i avoided the last star because the course dosent provide any regards or kind of learning to python and power BI.

By Deleted A

Apr 9, 2022

I learned a lot in a new field of knowledge. As a professor, I know pretty welll that the success of academics is told by successful students who acquire new ways of understanding reality.

Great experience!

By Yvan S

Oct 13, 2022

Tuve muchos problemas con Chrome para acceder a Bigquery y luego las bases de datos no se podían cargar, por problemas del país origen de los datos.

Escribo desde Venezuela, no se si el problema es ese.

By Amethyst M

Jan 22, 2022

I want to give this 5 stars, but the instructions for BigQuery were out of date, so I was not able to complete some of the hands-on assignments. I was able to finish the course by completing the quizzes.

By Norman C L

Jul 8, 2021

Overall very informative and touches on important aspects about data and the related issues. Would be nice to include more hands on practices with SQL or Spreadsheet in comprehensive and progressive way

By Анна П

Jun 10, 2022

The course material was ok but the instuctor was sooo dull and boring. At some moments I even thought that I could not finish it because it was too hard to get the information the way it was presented.

By Henry O

Mar 12, 2023

The videos and reading materials in this course were simplified for easy understanding and assimilation by the students and the content built to equip the student with relevant data analysis skills.