Chevron Left
Volver a Prepare Data for Exploration

Opiniones y comentarios de aprendices correspondientes a Prepare Data for Exploration por parte de Google

9,223 calificaciones

Acerca del Curso

This is the third course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. As you continue to build on your understanding of the topics from the first two courses, you’ll also 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, you will: - Find out how analysts decide which 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 with 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 the best practices for organizing data and keeping it secure....

Principales reseñas


10 de ago. de 2022

The lessons were easy to follow through and the explanantions were easy to understand. The hands-on practices also helped improve hands-on skills with the data analysis tools introduced in this course


4 de jul. de 2021

Thank you for the course! It's a nice introduction to SQL and Google Big Query as well as the concepts of data privacy and security. The course also offers some great tips for professional networking.

Filtrar por:

1226 - 1250 de 1,465 revisiones para Prepare Data for Exploration

por Elizabeth G

4 de ene. de 2022

There were a couple topics that I wish the course had gone more depth in, or at the very least, directed me to resources so I could learn more.

por Lu M

17 de ago. de 2021

It goes a little bit fast sometimes and there are some errors in the queries of hands-on activities that made it impossible to run the query.

por Parvaneh K Z F

18 de nov. de 2021

I​ enjoyed the course. The instructor was good! The material was selected perfectly.

T​hank you Hallie!

T​hank you Coursera!

T​hank you Google!

por Shedrach A

18 de jun. de 2021

So glad going through this course as it has opened up my understanding to properly interacting with the various data type and their use.

por Paulina H M

15 de feb. de 2022

More SQL could be good in the course. Is a good introduction but I think istead of week 5 is about community, could be more about SQL.

por Inara B

10 de ene. de 2022

Enjoyed the course overall. Wish there was a bit more of a deep-dive into SQL and queries, but hope this will happen in next courses.

por Manuel C

18 de jun. de 2021

Very good course, I liked how the instuctor teaches, but some labs did not work, but I think that it is due to my location and region

por Yasmin D

16 de jul. de 2022

Great information, just wished there was an option to do more query practices. I find it that it helps me remember functions better.

por Samadrita R

4 de jul. de 2022

Excellent course but repetitive in parts - However, that offered a quick revision of the use of platforms like BigQuery and Kaggle.

por 한귀탁

28 de abr. de 2022

i got good impression

i am not good at data analysis. but this course encourage me to study data analysis!

i recommand this course!

por Muhammed S

12 de jul. de 2022

worth learning course . However, course aimed to teach theory's over practicality , that's the only banes I feel in this course .

por Tim D

15 de abr. de 2021

A decent course with lots of information. Some technical issues and errors, but the info is all there and fairly well mapped out.

por Mario S

27 de ene. de 2022

The course escalated to SQL very quickly and was a little bit in rush, but overall good. I am now more familiar with simple SQL.

por alejandro v

27 de oct. de 2021

It's a great course, it would be good if there would be more examples of cleaning the data, but, the content it's very complete

por Tumi M

25 de may. de 2022

The course was good. i just wish that more time was spent on the actual sql syntax learning and less on the other stuff.

por Alex W

15 de may. de 2022

It would be beeter If there's more instructions about assignments for writing queries, such as distinct, and count.

por Mohamed k T

27 de oct. de 2021

high quality of courses.thanks to the experienced specialist of this module.keep do a magnificient work.

por Akin O

10 de jun. de 2022

E​xcellent introduction to steps required in preparing data for exploration - through rearranging, formating etc.

por Marie-Gisele N

22 de dic. de 2021

one of the best in the line. With lots of resources on networking, increasing presence within social networks.

por Jorge H G

21 de jun. de 2022

Week 3 feels too long and then week 4 and 5 are not very useful or content could be condensed into one week.

por Eric O I

7 de may. de 2022

This is a well packaged course-- complete with video clips, readings, learning logs, and hands-on practice.

por Jennifer L S

20 de feb. de 2022

I learned a bunch of stuff. Cleared up some mistakes I was making. Thank you for this format! I love it.

por Joshua A

25 de sep. de 2021

t​horougly enjoyed course.......will soldier on to complete the other remaining courses in the module......

por Mohamad F B R

6 de abr. de 2021

Good introduction to SQL, Data types and Data ethics. Some minor issues with Qwiklabs that can be improved.

por Atul Y

31 de jul. de 2021

its a very nice to be part of learning this course , to learn how data is prepared-organizing and security