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学生对 Google 提供的 Prepare Data for Exploration 的评价和反馈

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22,952 个评分

课程概述

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....

热门审阅

MG

Aug 8, 2023

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.

EA

Jan 2, 2023

Very thorough course. It goes a great mile just to explain the littlest of concepts. I enjoyed the virtual desktop part, it made learning so interactive and almost like I was learning in real time.

筛选依据：

1201 - Prepare Data for Exploration 的 1225 个评论（共 3,619 个）

创建者 Pragati s

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Sep 1, 2022

very well explained and structured , cleared all the doubts

创建者 Carlos O

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Jul 16, 2022

Very good course, made me excited to learn more about data.

创建者 MANISH

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Jan 30, 2022

I learned a lot in this prepare data for exploration course

创建者 Mtutuzeli N

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Oct 28, 2021

Easy to follow and understand. Interesting and informative.

创建者 Eman T

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Oct 5, 2021

Great instructor, resources and such an informative course.

创建者 Rajinder S

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Sep 9, 2021

awesome learning with enough practical experience provided.

创建者 Ray W I

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Sep 6, 2021

SQL is a mother, but I am learning. Highly recommend. Thnx

创建者 NGUYEN V P

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Aug 15, 2021

The introduction of Kaagle and Big Query is the real deal.

创建者 Cally I

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Jun 27, 2021

Excellent, learned a lot of stuffffsssss. :)

Great.

Thank you

创建者 BASHAR A N

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Apr 2, 2021

Great course loving it and I'm going forward to get it done

创建者 Santiago S

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Jun 9, 2024

So grateful for these courses. Potentially life altering.

创建者 Hamza S

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Apr 5, 2024

So far, the trainer is the best of all the courses I took.

创建者 Sarah S - O

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Mar 25, 2024

Great beginner practice for viewing data in SQL and Sheets

创建者 Alvaro B

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Aug 23, 2023

These courses are my best tool, I hope to finish them all!

创建者 Triple-T P

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May 21, 2023

I am excited that I an gradually going through my courses.

创建者 Ezequiel C

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Jun 26, 2022

Great course, I'm starting to understand what's about data

创建者 Edmond K A

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Apr 29, 2022

I made a couple of step progress in SQL with this course.

创建者 Vinaya K G

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Mar 22, 2022

Data for Exploration is the critical part of Data Analysis

创建者 Ratan K P

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Dec 23, 2021

Data preparation for data analytics given in order manner.

创建者 Gajanan W

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Oct 26, 2021

Simply awesome. Nothing could be better then this program.

创建者 Jennifer B

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Oct 3, 2021

Thank you for a great class, full of valuable information!

创建者 Marlon 1

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Apr 29, 2021

Excellent course for people with no experience in the role

创建者 Emiliano d J S A

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Feb 15, 2025

Tiene muchas partes prácticas, eso me encanta 20/10 y god

创建者 Amélia C S D

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Dec 19, 2024

Poderia ter menos vídeos, são cansativos e desnecessários

创建者 STEFANO B B

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Sep 27, 2024

semakin mengerti dan paham tentang begitu pentingnya data