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Prepare Data for Exploration

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.

状态:Data Import/Export
状态:Data Literacy
初级课程小时

精选评论

MG

5.0评论日期: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.

FR

5.0评论日期:Aug 8, 2021

As a beginner in SQL and Data analyst world, this course "Prepare Data for exploration" open my eyes and enrich my knowledge. I do really enjoy this course. and Excited to move forward. Thank you :)

NS

4.0评论日期:Dec 31, 2021

I liked that some assignments had me use SQL and get more comfortable using it. However I would have liked more assignments using SQL and Sheets to get more practice. Otherwise was pretty fun.

HO

4.0评论日期:Mar 11, 2023

The videos and reading materials in this course were simplified for easy understanding and assimilation by the students and the content built to equip the student with relevant data analysis skills.

VG

5.0评论日期:Apr 18, 2025

I enjoyed this course very much and have gained so much through Hallie teacher and how to connect with others. She is a great teacher and a mentor . All her learnings are great part of my life.

PK

4.0评论日期:Apr 11, 2021

This was a great course and it was in flow with the second course of the specialization. Gave good insights about bias, ethics, and protecting data. It also involved a lot of hands-on activities.

EA

5.0评论日期: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.

RP

4.0评论日期:Nov 21, 2024

tutors are very good , In which manner this course is designed is very well . The combination of Theoritical knowlege and Practical Implementation of that showcase the the value of this course .

KG

5.0评论日期:Mar 31, 2024

What an amazing course for data analyst. This course not only offer technical skills but also soft skills we should have as data analyst. I would like to thank Googlers and Coursera for this course.

MS

4.0评论日期:Dec 12, 2022

This was probably the most in-depth course yet, it was refreshing and challenging. The videos can be reduced, reading has a much better impact, and Scribe can be utilized in the materials more.

ST

4.0评论日期:May 20, 2023

Overall it was a good course, but I found myself disengaging a lot because of the moderator, she always had a flat tone when speaking and is totally visible that she's reading from a teleprompter.

EK

5.0评论日期:Jul 5, 2023

There is a lot of useful information about how to manage data, considerations for data security, and organization of data. I felt as though I learned a lot and advanced my skills with data analysis.

所有审阅

显示:20/3,662

Arjunsiva Senthilkumar
1.0
评论日期:May 21, 2021
Bubíková Kateřina
1.0
评论日期:Jun 29, 2021
Alexandru Gheorghe
1.0
评论日期:May 25, 2021
Farah Rivai
5.0
评论日期:Aug 9, 2021
Dilara Fırtına
1.0
评论日期:Jul 11, 2021
Lucas
1.0
评论日期:Oct 16, 2021
Rachel Levine
5.0
评论日期:Mar 24, 2021
Hui Yang
1.0
评论日期:Jun 4, 2021
Kim Souplit
2.0
评论日期:Oct 28, 2021
Federico Lozano
3.0
评论日期:Mar 17, 2021
Ahmed Younis
1.0
评论日期:Jul 5, 2021
Dmitrii Drozdov
5.0
评论日期:Jul 5, 2021
Matthew Barresi
5.0
评论日期:Mar 21, 2021
Mariya Anderson
4.0
评论日期:Apr 21, 2021
M H
1.0
评论日期:Apr 23, 2021
John Graham
5.0
评论日期:Mar 29, 2021
Nathan Wagenet
4.0
评论日期:Jun 8, 2021
Landon Campbell
1.0
评论日期:Jul 23, 2022
Aisha Mohammed Musa
5.0
评论日期:Nov 16, 2023
Yasrif Khan Apurbo
5.0
评论日期:Apr 14, 2021