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Отзывы учащихся о курсе Prepare Data for Exploration от партнера Google

4.8
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Оценки: 5,565
Рецензии: 787

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

GC
9 мая 2021 г.

Amazing teacher! I have learned so much in this process that even my way to think data has changed a lot. Metadata is a new subject for me and through the course I get even more fascinated about data.

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.

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51–75 из 859 отзывов о курсе Prepare Data for Exploration

автор: Ignatius J

28 июля 2021 г.

T​his is a very great course. I've learnt so many things like SQL, Types of Data, Relational Database, Data Security and many more great skills. I really love this course and I am confident that after completion of the full courses in Google Data Analytics Professional certificate, I will secure a job as a Data Analyst. Thank you Google and Coursera for this wonderful course.

автор: Lilla M

31 дек. 2021 г.

The course was really interesting and gave the right information I was hoping for. Maybe the last section was a bit out of topic, nevertheless, it was good to have some information and suggestions on how to enter in this field professionally. I would also like to congratulate Hallie and the way she presented the topic. She made it very easy to follow along.

автор: Tam N M

5 сент. 2021 г.

I am from Vietnam and I appreciate that Google and everybody working at Google had helped me on my way to become a data analyst in the future. Thanks to you that I more believe in myself everyday. It is not easy to have a center in Vietnam to teach me about data because it is still a new major in our country. Google has help me so much. Thank you.

автор: PelaiahStiles

30 авг. 2021 г.

It was a great learning experience. This module opened my mind to BigQuery (SQL) and Kaggle.

These were the biggest new knowledge I learnt in this course. I also appreciated the sections that talked about building your network and using social media to do that. I really appreciated that section as well.

All in all it was an amazing module.

автор: Jason S

3 янв. 2022 г.

I felt this course did a good job of giving an overview of the tools and language needed to prepare data. I felt the spreadsheet content was a little light, but that may be because I have had experience with them. Likely someone with SQL experience (not me) would think the same about the database content. Overall, I enjoyed the course.

автор: Noël B

24 июня 2021 г.

-This Course was an Excellent one. it provided me how to prepare final data sheets for analysis using different tools like Google sheets and SQL and the course material was excellent. -Secure, and assign access to data sheets. -And Special part of the course was played powerful lecturers with very strong teaching methodology

автор: KUSUM R

11 авг. 2021 г.

This course provided more hands on approach to cleaning data, tips for ways to boost social presence. It was easy to learn, never felt bored and having heard stories of people working in the industry provided a deeper understanding of not just what an analyst does but also the other roles which work along with an analyst.

автор: Tianren C

6 янв. 2022 г.

That's amazing, I can't believed it those useful software that can help me to open my eyes about data world. Such as, Kaggle, Bigquery, and SQL. Those skills can help to better understand what is data? and how to used SQL to answer my questions. Therefore, studying at Google is the best decision I have ever made.

автор: Abhinay V D

25 июня 2021 г.

It was very informative course, learnt so many important skills like Explain factors to consider when making decisions about data collection Discuss the difference between biased and unbiased data Describe databases with references to their functions and components Describe best practices for organizing data

автор: Luis G

16 янв. 2022 г.

This certificate is getting better and better, getting acquainted with topics even more specialized and that are part of the lingo of Data Analysts, makes feel I'm one step closer to the goal, understanding data types, structures, data models, data ethics, a brief introduction to SQL, is just amazing.

автор: Mohammad k H

9 сент. 2021 г.

The contents of this course was fantastic as before. I love it. Furthermore, the optional engaging in the data community on week 5 consists of lots of very useful communities that can be used in order to improve our skills. I appreciate google and Coursera to let me to participate in this course.

автор: Asim B T

6 нояб. 2021 г.

Engaging content and excellent delivery!

The difficulty level is easy (if you have been involved in spreadsheet analytics). My advice, if the content is familiar, it's efficient to go directly to course challenges and then go for the content to focus on areas which you believe you need to work on.

автор: imran s

6 июня 2021 г.

Course content is very good it covers all the aspects of the preparation of data while data analysis. Course is designed in a very interactive way which keeps learns curious about next learning an its quiz and assignments are very much helpful to check the understanding of the course.

автор: Matthew H

8 окт. 2021 г.

This course was a great introduction to data ethics, spreadsheets, and SQL. I feel as though I am properly being prepared for a career pivot into the world of data. I hope that many others get to experience this course, because even the optional course was worth the time and money!

автор: Guilherme S P

18 сент. 2021 г.

By far the best course of all, the instructor made every part of the process cristal clear and i learned so much, thanks for having someone like her doing this, it was shor and direct when needed and detailed when necessary, great work and the content in itself was great too.

автор: 楊喬文

29 июля 2021 г.

Not only teach data analysis skills, but also provide us lots of resources about how to manage our profile, use community to connect or learned from people who are in the same field, tips which are trying to make our becoming-a -data-analyst-path more smoothly. Thank you.

автор: Jasmine S

18 окт. 2021 г.

As a beginner, I would recommend this course because you gain some hands-on experience with writing basic queries, which I found both challenging and fun. After writing basic queries, it allows you to run to find what criteria you are looking for within the database.

автор: Nguyen N H

4 июля 2021 г.

Overall, Prepare Data for Exploration is a great course. Thank you for the fundamental sharings about data-related knowledge from the dedicated instructor. The tools and skills mentioned in this course are helpful to me to become a data analytics in the near future.

автор: Chase M

8 апр. 2021 г.

The instructor was one of my favorites, however I had some issues with the pacing of this course. I am unsure why we were using BigQuery in week 2 when it wasn't properly introduced until later weeks. Overall the course was very informative and taught me new tricks.

автор: Cesar A M S

27 дек. 2021 г.

I​ found this particularly useful. Much of the content was familiar to me, yet in an unordered and informal way. This course helped me to focus in the most important topics about data. Will be part of my basics to continue on this journey of working with data.

автор: Stuart

12 нояб. 2021 г.

Definitely my favourite module so far. Really good balance between videos, reading and hands on exercises. I've found myself doing more than I planned on a number of study sessions, due to how engaging the material was and how clearly it was presented. Thanks!

автор: Taylor A

15 июня 2021 г.

T​his course prepares you really well for the next step in the learning process. Sometimes you don't realize how important things are to learn. For example, I know data should be kept safe and private but going into more detail about the process really helped.

автор: Benjamin F

18 авг. 2021 г.

A​nother great introduction to the world of Data Analytics in particular the second stage of analyzing data. Refresher on spreadsheet basics together with discussions of Data Ethics, SQL basics and working in BigQuery. Cannot wait to see what's in store next!

автор: Prathamesh L

31 мая 2021 г.

I am so glad that I have made up till this course. The journey into this Google data analytics certificate course has been enlightening and effective. I am enjoying every bit of information I am learning. Looking forward for upcoming courses. Exited!! Thanks.

автор: Akshay U H

15 апр. 2021 г.

Great balance in this course. Good experience with the hands-on labs on SQL and Sheets using QwikLabs. Emphasis on a lot of real-life considerations to be made when preparing data for analysis. Good section on maintaining an online presence professionally.