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.

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.

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!

I'm impressed by myself that I can keep up with this journey! You know, your biggest enemy is yourself. I started literally from scratch and as I approach the next step, I'm so excited to learn more:) So far, the material is well-organized, light, and simple to understand. I'd also like to thank the instructors for their encouraging words, I can feel the energy! Moving forward, I am confident that I'll overcome all obstacles:)

The only thing I would ask for is maybe also add data scraping. It was introduced a little but I wish it was explored a little bit more. The rest of the course was just phenomenal. So much action packed and so much fun! There are a few part I need to look again as they were confusing like differentiating administrative metadata with technical metadata. maybe add more examples to clear the confusion? Thank you so much! 😊

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.

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!

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.

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.

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.

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.

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.

Excellent in-depth course on sourcing datasets for projects, how to determine whether they contain 'good' or 'bad' data, how to ensure data privacy measures are taken and best practices for naming files and folders for use in collaborative efforts. The instructor is personable and easy to follow. Her commitment to the field of data analysis and enthusiasm is contagious. Well done Google!

This course was really interesting. Everything is really easy to understand from diving deeper to spreadsheets, to data security and creating an online presence. I will definitely work on the last one. As for the structure of the course, everything is detailed as well as easy to understand---each material is organized careful, making sure not to skip any steps.

Thank you for your hard work!

I started on this Google Data Analytics Certificate journey to add it to what i already knew, and practiced, for over 35 years in the IT industry. Like the previous two courses, this one was more of a "refresher" course, HOWEVER, i did learn some new things about spreadsheets and relational databases that i had never used, but definitely will in the future. I'm loving this adventure!!!!

I learnt a lot about database, data security, and SQL queries in this course, especially I had the chance to practice my SQL skills with Google BigQuery. The learning and practicing materials are straight to the point, concise and relevent enough to help me understand the core ideas and apply my skills. Google and Coursera did a great job, so thank you and please keep up your good work!

The Google Data Analyst Certification's module on Prepare Data for Exploration was invaluable. It provided comprehensive insights into data preprocessing, cleaning, and transformation techniques. The hands-on exercises and real-world examples enhanced my practical understanding. The course's concise and well-structured content made it a valuable learning experience. Highly recommended!

I thouroughly enjoyed this course. I am 100% an amatuer, and each of these courses have taught me so much. They're well put together. The strategy of a watching short video, a short read, followed by a quiz seems to be just what I needed to make the information stick!! interactive and never boring. I really appreciate all of the Goggle analyst who "hosted" courses. <3

-Megan

This 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.

Overall, great course. I also appreciate the fact that you share content about networking and social media to make our career grow better. Amazing experience one more time.

I wish I had more SQL and Spreadsheets exercises though. And working with the external computer in guided exercises is great. Is probably one of the things I liked the most. Thanks Coursera and Google.

The course "Prepare Data for Exploration" is one of the courses for Data Analysis and was best as usual. The only thing which lacks behind in this chapter is that the part of Google Cloud topics is outdated in the lecture and when we are using it in real-time google cloud is the updated version. So, only in this part, the course has to be updated otherwise it's amazing.

Halley Tutor was Fantastic, This was the first tutor till now that I was satisfied with him, especially his pronunciation. I haven't looked at subtitles throughout the whole course. And no doubt his teaching skills were awesome and this course is also perfect as it offers many practical preparation and tasks. Overall Good Time passed, and I will miss this course tutor.

Overall, "Prepare Data for Exploration" is a well-crafted and essential component of the course, equipping learners with the proficiency to tackle the complexities of real-world data. Whether you are a novice or have some background in data analytics, this module offers valuable insights and practical skills that are directly transferable to professional settings

The most challenging part of this certificate so far, I learned a lot. I build skills that I previously did not have in an easy to learn structure. I loved every minute of it, including the syntax errors that nearly had me pulling my hair out. GREAT course, I would definately recommend for the SQL, BigQUERY and Spreedsheet data cleaning practice and experience.

Please include more partice cases and video realted to the tools as find it missing the benchmark like in sheets baisc function which most commomly used should be taught like sumifs, countifs, averageifs, vlookup. I know all these function I used them in my day to day work. But someone who doesn't have knowledge aout sheet will have no knowldge about the tools.