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Вернуться к Prepare Data for Exploration

Отзывы учащихся о курсе Prepare Data for Exploration от партнера Google

4.8
звезд
Оценки: 9,255

О курсе

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....

Лучшие рецензии

DD

4 июля 2021 г.

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.

RA

10 авг. 2022 г.

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

Фильтр по:

651–675 из 1,470 отзывов о курсе Prepare Data for Exploration

автор: Alex K A D

•

14 июня 2021 г.

Well structured and easy to understand course

автор: Swati P

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2 июня 2021 г.

Great course!! Easy to understand and follow.

автор: precious g c

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4 июня 2022 г.

shaping me from Finance background into stem

автор: Mary R G

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16 апр. 2022 г.

I love learning SQL in particular topic here

автор: karan s

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31 янв. 2022 г.

This course is full of knowledgable contents

автор: Kushagra S

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16 февр. 2022 г.

Learnt so much. The experience was amazing.

автор: Sabda N H

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10 февр. 2022 г.

Very good, i learn so much with this course

автор: Marcela R

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16 окт. 2021 г.

Great SQL explanations. Super clear slides.

автор: Javier M

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10 авг. 2021 г.

Muy interesante para la gestión transversal

автор: Wendy W

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19 июля 2021 г.

Good. Got some basic knowledge of database.

автор: Uge O A

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18 июня 2021 г.

Everything was perfect. I love Google😍😍😍

автор: Manjeet D

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23 мая 2021 г.

Great hands on experince on SQL and BigData

автор: Aditya A

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13 мая 2021 г.

Need more video on lessons for bigquery,sql

автор: Suttipong P

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31 мар. 2021 г.

This is a great course about data analysis.

автор: Aleksandra J

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19 июля 2022 г.

Great quality course as usual from Google.

автор: Mary O A

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12 июня 2022 г.

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

автор: Manjari M

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29 мар. 2022 г.

very good information for bigquery and SQL

автор: Animashaun I D

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21 янв. 2022 г.

Excellent course for beginners and expert.

автор: Pankaj v

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8 янв. 2022 г.

TEACH YOU TO PREPARE DATA FROM EXPLORATION

автор: Dameth A

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11 нояб. 2021 г.

Thank you so much for this amazing course.

автор: safi c

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30 сент. 2021 г.

Really good course, thanks for information

автор: Isam S

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25 авг. 2021 г.

It was very important and great

Appreciate

автор: Anu S

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17 апр. 2021 г.

Excellent overview and breadth of coverage

автор: Artur K

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9 апр. 2022 г.

very good ntroduction to data exploration

автор: ROHIL M

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11 мар. 2022 г.

Hands-On experience with BigQuery and SQL

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