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Отзывы учащихся о курсе Prepare Data for Exploration от партнера Google

Оценки: 13,051

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


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.


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:

876–900 из 2,052 отзывов о курсе Prepare Data for Exploration

автор: Cassandra M

15 мая 2021 г.

Easy to understand, useful and skill-building.

автор: Terrique B H

25 мар. 2021 г.

Easy to follow and teaches useful information.

автор: Kwame A

29 нояб. 2022 г.

It was relatively tougher than prevous course

автор: Vivek S

25 нояб. 2022 г.

Very helpful and most satisfying course ever

автор: Bryan S

25 нояб. 2022 г.

Excellent course to learn how to prepare data

автор: roshan b

4 нояб. 2022 г.

awesome learning !

best teacher for the course

автор: Lecayle H

17 окт. 2022 г.

Extremely well organized and easy to follow.

автор: Yash A

21 июля 2022 г.

Great course for the data dreamers out there!

автор: Jürgen F

6 апр. 2022 г.

high quality content and attention to detail!

автор: Erwin N

16 февр. 2022 г.

Nice course to get new job in data analytics.

автор: Juan S C P

5 февр. 2022 г.

I started learning from this module, awesome!

автор: Neelam D

19 окт. 2021 г.

This was best of all three courses till now!!

автор: Boaz I

22 июля 2021 г.

Recommended course to any junior data analyst

автор: Nuwan M

18 июля 2021 г.

A great course. I learned many useful things.

автор: Alex K A D

14 июня 2021 г.

Well structured and easy to understand course

автор: Swati P

2 июня 2021 г.

Great course!! Easy to understand and follow.

автор: Precious g C C

4 июня 2022 г.

shaping me from Finance background into stem

автор: Mary R G

16 апр. 2022 г.

I love learning SQL in particular topic here

автор: karan s

31 янв. 2022 г.

This course is full of knowledgable contents

автор: Sony O

5 окт. 2022 г.

Properly designed and presented, well done

автор: Kushagra S

16 февр. 2022 г.

Learnt so much. The experience was amazing.

автор: Sabda N H

10 февр. 2022 г.

Very good, i learn so much with this course

автор: Marcela R

16 окт. 2021 г.

Great SQL explanations. Super clear slides.

автор: Javier M

10 авг. 2021 г.

Muy interesante para la gestión transversal

автор: Wendy W

19 июля 2021 г.

Good. Got some basic knowledge of database.