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学生对 Google 提供的 Prepare Data for Exploration 的评价和反馈

13,051 个评分


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....



Aug 10, 2022

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


Jul 4, 2021

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.


76 - Prepare Data for Exploration 的 100 个评论(共 2,048 个)

创建者 Joy D S

May 6, 2021

This course was awesome. The step to prepare data and get the information about data ethics as a data analyst is important. I have learned a lot from this course which were cool. The instructor was awesome and have clear idea about each topics. Though I would suggest to keep slow when it comes to database management system.Cause people with non Computer Science background,I think will face a little problem on this very speed of learning. But I think they can overcome while they strictly follow the timeline offered by the course. Overall best. Good luck to my fellow learners.

创建者 Khushal K

Aug 15, 2021

The course was amazing! It just keeps getting better and better to a point that this is all I think about the whole day. SQL was a bit tough to grasp for me but they made it so easy and simple to understand in this course. The best part is that they don't just teach you data analytics, they also prepare you for your professional journey. The week they dedicate to the part about growing yourself as a professional just makes this course so meaningful and unlike any other course that you would take. Can't wait to get done with the whole thing.

创建者 Kapil C

Jul 9, 2021

A very good course on how to prepare your data for the analysis. The instructor gave the basic understanding of SQL. I am a beginner in data analysis and this course had helped me to get more enthusiasm for data analysis. Before this course I though SQL can be learned only who knows programming, but the way things were explained about SQL I think anyone can learn SQL who have have basic logical thinking and basic math skills. Thank you Hallie, Coursera and Google for the wonderful and easy understood able lectures, interactive lectures...

创建者 Irina

Apr 4, 2022

Excellent course with great information on how to organize/protect data and write basic queries.  I particularly enjoyed the BigQuery exercises.

The section on metadata was very useful, and “Data structuring with Quick, Draw!” was also fun! Also introduction to Kaggle at the end of Week 1 was great – this site has a lot of materials and free courses.

Also if you are new to workforce and/or LinkedIn, the “Online Presence” section is for you! Very good tips on how to establish and grow your online presence and where to find connections!

创建者 Antony J

May 12, 2021

I thoroughly enjoyed this course and enjoyed following a great presenter who seemed to grow in confidence. I really appreciate the guidance on Kaggle. I would love to get involved in the various stock market challenges. This course also gave me the push to finally set up my own Google Cloud Platform account. I've used QwikLabs before, but never taken the plunge to develop my own projects.

In terms of content, the mix between technical and soft skills is about right. There are plenty of modules to go in the program.

Thanks, Google!

创建者 Zita

Jun 24, 2022

Very well organised and suitable for beginners and if you already have a bit of knowledge this is an excellent revision tool! I was thrilled to have found a "recipe" to prepara the data. I once had a sheet with over 2000 entries. Then as I was working through it I started seeing what I suspected were duplicates. I removed duplicates and realised I only had about 600 rows. This is when I decided to always check sheets for duplicates. And then to learn this is one of the key steps in preparing data was wonderful!

创建者 Leandro M B

Jun 16, 2022

Got nice representations from the videos and from texts/images that connect some concepts I use and rules I follow because it seems to be the right way to do it. Clear and direct information, I got used to watch the videos at 1.25 or 1.5 times speed because the instructors talk patiently, but it is in a good pace (some times when the person speaking changes I have to speed down). The surveys and tests are coherent with the contents and it was woth going step by step over the weeks information.

创建者 Zorayda L

Jun 21, 2022

The Prepae Data for Exploration component of the Google Data Analytics is very well organized and thought out. I was surprised at the career building aspects included in the course such as discussions on which professional resources to join, how to obtain a mentor, and use of social media for professional purposes. The technical aspects are well taught with practice samples and videos. I continue to be impressed by the high quality of this course and the inclusion of "soft skills".

创建者 Göksel B

Aug 26, 2021

Great course to prepare your data. Only one thing might disturb you, which is in third week, it tries to teach you a lot in one video, which can be overwhelming when you watch it for the first time. But they repeat the process in that video afterwards to make sure you learn it, so at the end there remains no problem :) Btw, the quizzes and weekly challenges were great but the overall course challenge could be better by kind of forcing us use the Google Cloud Platform(BigQuery) :D

创建者 Kenechukwu M

Jul 10, 2022

This is the third in an eight-course series of the #dataanalytics professional certificate offered by #google via #coursera ; perfect for anyone seeking to get into the field of data science/analytics from a non-tech background. I am a visual person with a short attention span, who appreciates the quality of infographics and short videos used in the course delivery. Overall, I find this program a perfect fit for my #careergoals and I would be sticking around till the end.

创建者 Dr. G S

Jun 27, 2022

As with course 2, I read the reviews of this course first. I was pleasantly surprised. The fact is, that from the basics one needs to continue learning intensivly either on the platforms introduced so far, Kaggle and Big Query or through other learning platforms. The basics are presented in an good structured manner. Thanks.

The reviews of this courese mirror the different backgrounds of the learners. This courses can only be the beginning of a learning path.

创建者 Corey N

Apr 15, 2021

Great course! The course definitely gave me some understanding of concepts and skills in databases, understanding data types, SQL, Kaggle, and general understanding of data analytics from the prepare stage of the data life cycle. It even goes into how to get your career started with practical and useful information about using social media for networking, finding a mentor, and creating an online presence, which I would have never thought of to be honest.

创建者 Ali H M

Dec 10, 2022

I learn much more from the course "Prepare Data for Exploration". And I has been only possible due to Coursera. I love my all Coursera family and my fellow who are doing this Course. I suggest you to connect with Coursera in each and every field of life, I guarantied you Coursera will give you a bright future just not in my particular course but in that course also in which you have interested.

Thank you again dear Coursera!

Regards: Ali Hassan Mujtaba

创建者 Kishan D

Sep 16, 2022

The Good one to go with.

Till now pretty challenging in every aspect considering proper beginer, but anyone can get extra insights in different aspects like ethical points, deal with different-situations is the most annoying at first but gives you the glimps of the real-like scenario, and eventually you will get indulged within and spare some minutes to write some twisted review like this one.

P.S. Great One, time being invested rather wasted.

创建者 Afrikaniz3D

Sep 11, 2021

Was great working through and learning the processes. What made it better was being introduced to the different tools and communities that you could interact with to get a real sense of what you can expect when you formally enter the field of data analytics.

I have also been applying many of the things I've been learning to my current projects and the structures that have been introduced are going a long way in improving how I solve problems.

创建者 Manoj K M

Sep 20, 2022

Excellent - right mix of videos and learning materials. The instructor way of teaching was also not very difficult to understand. Nowhere i felt, the videos were boring - were crisp. One feedback: How to do or assignments on Kaggle could be a bit more detailed. I felt lost in 'Kaggle', still am! I know it was just an intro towards data community and self exploration is key BUT these things could be spelt out clearly as part of this course.

创建者 Thanh H N

Jan 25, 2022

The course has provided the basic grasp of preparing data for exploration by introducing Spreadsheet, SQl and Kaggle which are all commonly used in Data Analytics. I was expecting the exercise to be more advanced. However, with new learner, this is a great start to build up your knowledge. Google also suggested several credible sites for further reference and social connectivity for your career developmnent which I found most interesting.

创建者 Increase E

Sep 23, 2022

Honestly, this course was fantastic. I love the length of the videos, they are just the right duration to ensure that you remain focused. I love that there are readings that expand on the topic addressed in the preceeding video. Above all, the practice and interactive sessions were very effective. The assessments were very apt and I would recommend this course to anyone. I look forward to completing the professional certificate, Cheers!

创建者 Ahmet G

Nov 10, 2022

An informative course. I learned many things. Anything embroidered like lace. Well thought out. It is prepared in a way that even non-technical people like me can understand. I think this series of courses is a very good start for beginners. Everything is given in its most basic form. It's up to us to develop. I can say that it has made a great contribution to my personal development. Many thanks to Coursera and Google.

创建者 Ademola T

Dec 18, 2021

The course was very insightful as I learnt how prepare data for exploration. learnt what type of data that answers a particular business question; determine what type of data to collect. I learnt a lot about data sources, structure, database, Big Query, Kaggle community, datasets, metadata, SQL and a host of other insights. It is worth every penny spent. Bravo to Coursera and Google. It was great for a beginner like me!


Nov 5, 2022

It has a better quality video tutorial we can able to understand easily and the way they structured each course from basics to advance we can easily able to understand. And it has top courses like Google IT supports and DevOps on Amazon, it has the best recommendation engine based on our choice it recommends good courses to us. Each end of the course provides free certification for the completion of courses.

创建者 Geneve G

Feb 25, 2022

This a beginner-friendly introduction to Kaggler and BigQuery - which I really enjoyed. Because of the gradual introduction of the interface and features, I did not get overwhelmed with these platforms and I found myself practicing whenever I could. I also appreciated the inclusion of career tips and advice towards the end of the course - the advice given are helpful and something I would do right away.

创建者 Alyssa Z

May 1, 2021

This course covered SQL queries more in-depth and had some very good exercises with Big Query and Kaggle platforms. The video instructors covered SQL in a way that was not as intimidating to a beginner. So far, this course has also provided some good pointers for Excel and Google Sheets. This course also used less discussion board prompts and focused in more on programming, which seemed very productive.


May 30, 2022

When I first realized I have some interest in learning Data Analytics, it didn't occur to me there's so much more to it than the little I knew in excel. I'm so happy to take a chance because even though I'm just halfway in, I'm so looking forward to the completion and what lies ahead. Thanks to the team who put the lessons together so people like myself and others can realize their potential.

创建者 Norm S

Apr 23, 2022

I gave this module 5 stars because it provided the foundation for information and techniques in preparing data for exploration. It was segemented into easily understood components that were timed appropriately combined with knowledge and practical examples. Another portion of the content had to do with professional interaction and facilitating a professional image to progress towards goals.