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

4.8
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13,051 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

RA

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

DD

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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901 - 925 de 2,052 revisiones para Prepare Data for Exploration

por Uge O A

18 de jun. de 2021

Everything was perfect. I love Google😍😍😍

por Manjeet D

23 de may. de 2021

Great hands on experince on SQL and BigData

por Aditya A

13 de may. de 2021

Need more video on lessons for bigquery,sql

por Suttipong P

31 de mar. de 2021

This is a great course about data analysis.

por Sharmini T

6 de sep. de 2022

Appreciated the step by step hands on expe

por Aleksandra J

19 de jul. de 2022

Great quality course as usual from Google.

por Mary O A

12 de jun. de 2022

thanks alot, i'm learning alot from y'all.

por Manjari M

29 de mar. de 2022

very good information for bigquery and SQL

por Animashaun I D

21 de ene. de 2022

Excellent course for beginners and expert.

por Pankaj v

8 de ene. de 2022

TEACH YOU TO PREPARE DATA FROM EXPLORATION

por Dameth A

11 de nov. de 2021

Thank you so much for this amazing course.

por safi c

30 de sep. de 2021

Really good course, thanks for information

por Isam S

25 de ago. de 2021

It was very important and great

Appreciate

por Anu S

17 de abr. de 2021

Excellent overview and breadth of coverage

por Vasil S

27 de ene. de 2023

Only one small issue (Week 3 / Lesson 5).

por Tanveer A

23 de ene. de 2023

Thank you for delivering the best course.

por Kofoworola A

13 de ene. de 2023

i learnt sooo many new things. try it out

por Gloria C

3 de nov. de 2022

Tedious but vey educative and interesting

por Siti F I

31 de ago. de 2022

New knowledge I learned: BigQuery and SQL

por Artur K

9 de abr. de 2022

very good ntroduction to data exploration

por ROHIL M

11 de mar. de 2022

Hands-On experience with BigQuery and SQL

por Andrey K

9 de nov. de 2021

Great course, very helpful and beneficial

por Onyinyechi I N

22 de nov. de 2022

Excellent, easy to understand and clear.

por DHANANJAY S

8 de oct. de 2022

Thank you for teaching me great skills.

por Asad S

9 de ene. de 2022

incredible course and beginner friendly.