Thansk for the course , videos and other everythings. And thanks for the about adviceses. They helped me to be more selfconfidence. I learned that , I do not have to be a superman, I should work with my team and do not hesitate asking help from them.

very informative. Self-reflection, pop-up quizzes, and end-of-course quizzes were very helpful. I was able to use both Google Sheets and Excel to work on entering data, wraping texts, and providing visualization of spreadsheets in bar or line charts.

Got more understandings and confidence from this course. As this course progresses slow and steady, it helped me to gain insights clearly. Very much excited on the upcoming courses.

Thank you, Google and Coursera, for providing such wonderful course.

I am true beginner having absolutely no formal data or coding background at all and I was able to complete this. The lessons are organized wonderfully and for a nice change in online learning, the quizzes are beneficial and document actual learning.

I really enjoyed the learning process. I loved the way the instructor taught every topic and i look forward to learn more.

I however wanted the course challenge to encompass everything learnt from week 1 through to week 5 as a form of recap. Thanks.

A wonderful introduction to Data Analytics by Google. While not in-depth, as it serves to only introduce the subject, it gives the student a great view into the responsibilities, skills, and tools a data analyst will need in the modern labour market.

The quizzes, challenges and tasks, are very useful in having me track my weaknesses. The challenges at the end of each week really made me think very hard as the questions are tricky. Kudos to instructors and the team who produced these materials....

The course was full of brilliantly explained topics and the mentor was a top notch one. The only thing missing was live sessions with the mentor to clear doubts. Otherwise a spick & span course for building a solid basic for an aspiring Data Analyst.

Love the Google Data Analytics course because the instructors can explain the course in a very simple manner that anyone within or outside the field of data analytics. I recommend it to anyone who wants to begin his data analytics journey. Thank you

It was an awesome experience from this introductory data analysis course. Each module is gives insight about another module. Don.t skip any module try to attempt each learning log, as that will help you to understand the whole picture of the course.

Everything continues step by step and with practice. They are trying to give you all the theoretical knowledge by trying to make you adopt it without skipping anything. This is the first time I've had a tutorial on coursera and I was very impressed.

Very helpful course, suitable for complete beginners. Except all the great explanations, what I like the most was that in every lesson the tutor keep giving you motivation and support. I will keep with the other courses in Data analysis certificate.

Am really enjoying it but i can not continue again because you guys can not process my payment for the next couse. so please somebody should help find solution to it from your ends. thank.

this is my number 07033729899. and its also my whatsapp line.

This course made me realize how important it is to make data-driven decisions and I feel like everyone should know and use this knowledge on their daily life.

Overall great introductry course with a lot of helpful strategies from successful people.

This course is amazing! They do a fantastic job at introducing learners to the topic of data analytics and the tools assosicated with analyzing data. This is a GREAT introductory course. I feel so confident to move forward to the subsequent course!

The way of teaching one gets at this platform is great. The credit goes to the mentor. Also the way this course is designed to understand the core concept of data analysis in a very practical manner which makes it the best course for Data Analytics.

Very clear explanation about how a Data Analysis cycle and Data Life Cycle behave. As an entry level Data Scientist, I find the information really relevant. Have been using this planning into my project now. Overall a really good introduction course

This course was really interesting. The pace was average and presenters were great. I am not directly graduated in Data Analytics field but this course really help clarified things I know and presented things that I didn't know. It's worth studying.

This is great and I have learned very important thing, so I wish to continue all course and I am very apricate your grate Job. I addition to that lecture panels and used materials are very good and course content very clear also easy to understand.

Very solid introduction into data analytics! It taught me alot of interesting perspectives on how to begin to think analytically. I think the ASK portion of the data analysis process / the 5 WHY method is what stuck with me the most out of course 1

Course content is smartly designed, I feel engaged and inspired to learn every day. As a working person, I love that the course is not purely about technical knowledge, but also offers useful life advices that are true in every working environment.

Wow, I never had such a great learning experience before. The day I start the course I feel like I am already learning a lot. The instructor Tony has brillent presentation and teaching skills. Thank you Google for provding this great oppertunity :)

Great first impression for those of us who are considering a new career in data analytics. This course provided a great foundation into this field. It also provided enough information that helped me decide that Data Analytics will be my new career.

I took the first three classes of the IBM data certificate and I'm finding that the Google Certification goes far more into depth on the process. I feel I will be much better prepared to work in this field after completing the Google certification.

Hello people. Foundations: Data, Data, Everywhere is the first course in Google Data analytics. It basically helps you to know more about the "Data Analyst" domain . The terms, tools and technologies used in order to yield some responsive results.