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Opiniones y comentarios de aprendices correspondientes a Preparar datos para la exploración por parte de Google

14,020 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.

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851 - 875 de 2,227 revisiones para Preparar datos para la exploración

por Rakesh V

1 de sep. de 2022

Excellent explanation and good knowledge gaining stuff

por Mark A M

19 de ago. de 2022

this course is very helpful in studying data analytics

por S L

24 de nov. de 2021

Good overview of the skills that need to be practiced.

por Vivian H

25 de sep. de 2021

Gained so many insights ! Thank you i learned a lot :)

por Sarvesh C

7 de sep. de 2021

The trainer was awesome, they were clear and precise.

por manish K

24 de jul. de 2021

I really loved the way things are explained by tutors.

por Deiyandara G C

11 de jul. de 2021

Great content. Thanks a lot for the quality materials

por Patricio P

11 de dic. de 2022

Very challenging, but I'm getting closer to the goal.

por M S B

2 de sep. de 2022



por Ndidi E

10 de may. de 2022

Interesting and Challenging Module but i did enjoy it

por vivian u

12 de ene. de 2022


por Suresh K

29 de nov. de 2021

Very concise, well explained content to start with...


19 de jun. de 2021

Great course. I really gained a lot from this course.

por Taras K

25 de ene. de 2023

Great pitch and content! Truly outstanding delivery!

por Priyanshu A

27 de ago. de 2022

its a really good platform for learning data segment

por Jim T (

21 de ago. de 2022

glad to finally start getting some hands on practice

por Herath M S U H

3 de abr. de 2022

Great lectures, study materials, also great content.

por Fazlous S

13 de mar. de 2022

This is an amazing course that really I loved a lot.

por Sankar V

27 de dic. de 2021

Awesome contents and arranged in a structured manner

por Vinay T

18 de dic. de 2021

excellent course however i did not understand kaggle

por Sergio M

1 de jul. de 2021

Great course, easy to understand and really helpful.

por Leandro P

21 de jun. de 2021

I am very satisfied with the quality of this course.

por Korawan E

23 de abr. de 2021

Very useful. I appreciate for your kind instructions

por Selamawit L

1 de dic. de 2022

I learn how to use tools like spreadsheets and SQL.


8 de sep. de 2022

This course is examplary good and full of content.