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Prepare Data for Exploration(으)로 돌아가기

Google의 Prepare Data for Exploration 학습자 리뷰 및 피드백

4.8
별점
13,051개의 평가

강좌 소개

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....

최상위 리뷰

RA

2022년 8월 10일

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

2021년 7월 4일

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.

필터링 기준:

Prepare Data for Exploration의 2,052개 리뷰 중 851~875

교육 기관: Phương T N

2021년 9월 5일

A helpful course for beginers in data analytics.

교육 기관: CHANDER K

2021년 6월 12일

awesome to learn here Thanks google and coursera

교육 기관: A A

2022년 12월 5일

It helped me to know more about preparing data.

교육 기관: Leonardo A

2022년 10월 26일

Keep it up, Google and Coursera! Great Course!

교육 기관: Lisa W

2022년 10월 3일

Fun course! Enjoyed and excited to start next.

교육 기관: Aditya S Y

2022년 6월 17일

Very short, sweet, simple and effective course.

교육 기관: Sandeep C

2022년 5월 25일

I will learn a lot of new things in the course.

교육 기관: Valente M

2022년 3월 23일

Fantastic Course...Is changing me on data path!

교육 기관: Amajuoritse J E

2021년 11월 19일

This course was very innovative and educational

교육 기관: Randall U

2021년 8월 3일

Thanks to the instructor. Enjoyed the course.

교육 기관: Mircea N S

2021년 7월 6일

Excellent materials and instructors. Thank you.

교육 기관: Vijayakumar K

2022년 11월 13일

your learning methods so good.

best way methods

교육 기관: Petra K

2022년 10월 26일

It was fun and it went fast great instructor.

교육 기관: Jayasree A

2022년 10월 12일

Loved the course and the trainer is awesome!!

교육 기관: Aboo A ( D A i R

2022년 9월 26일

Good teachers positive and efficient methods

교육 기관: chenxiaowu

2022년 7월 4일

Nice course to explain the foundation of data.

교육 기관: Catalina S

2022년 6월 16일

Love the instructor Tom, it was a great course

교육 기관: Edrei R C S

2022년 5월 24일

Great and fun course. Good introduction to SQL

교육 기관: ROSHANI

2022년 5월 9일

obverse isn good in coursera course

thank you!

교육 기관: Mohamed M

2022년 3월 10일

Amazing, excited to complete this certificate.

교육 기관: sepideh D H

2021년 12월 2일

It was useful the infrastructure information.

교육 기관: Tsie M

2021년 12월 1일

gained insight into how to prepare my data :)

교육 기관: Lisbeth D

2021년 8월 19일

Very good course, I learnt a lot! Recommended!

교육 기관: Nuhu A

2021년 6월 10일

The teaching is hands on which is great for me

교육 기관: Deepak V

2021년 5월 20일

I really loved the instructor's communication.