学生对 Google 提供的 Foundations: Data, Data, Everywhere 的评价和反馈
课程概述
热门审阅
TV
Jun 30, 2022
I found this course to be very user friendly. I was at well I was able to follow along. I did have doubts in myself when starting, but the instructor kept me engaged and eager to learn more. Thank you
TG
Jun 25, 2023
Having little certificates along the way helps me feel accomplished and proud of myself. reaching smaller goals along the way to my large goal is exciting and makes me excited to learn the next steps.
5001 - Foundations: Data, Data, Everywhere 的 5025 个评论(共 10,000 个)
创建者 S M M I
•Jan 21, 2022
This is just begining with Data and its analytics learning, awesome guideline and enjoying a lot to know more data.
创建者 Lusekelo K
•Jan 14, 2022
Great learning style which includes a combination of videoes, reflections and readings & quizzes to test knowledge.
创建者 Kofi S
•Jan 14, 2022
This course very well organized. Concepts are clearly explained and the additional resources added are very useful.
创建者 Shakeel N
•Nov 5, 2021
I really had a wondderful experience. This was my first expereince and I have enjoyed the method of learning a lot.
创建者 Mike H
•Oct 29, 2021
The presenter was fantastic, and even as a science teacher, I still learned a lot. I'm very glad I took the course.
创建者 Avdesh K
•Oct 18, 2021
basically i like the concept of course which so good and reading material is too much interesting or understandable
创建者 Uchenna O
•Aug 17, 2021
the best positives from the course is how its been presented in the most simple and easy way to ease understanding
创建者 Sagar S l
•Aug 6, 2021
learning with very basics i am understanding the course and enjoying it .hope to enhance the skills more and more .
创建者 Pratik M P
•Jul 5, 2021
Great course, with a clear understanding of topics helps in creating greater interest in the field of data science.
创建者 PN M
•Jun 27, 2021
This course help me to basic understanding of tools as well as it help me to understand of analytics work
Thank You
创建者 Paola P
•Jun 1, 2021
I have already experience as Data Analyst, but this course help me a lot, now I know many concepts about this field
创建者 Allamraju A
•May 28, 2021
A very engaging and fundamental oriented course to brush up u r skills and to be ready to dive in the world of data
创建者 Vijayakumar S
•Apr 18, 2021
Excellent Content So Far. Easy to Understand. More importantly 'How you are building the Foundation' for Analytics.
创建者 Lokesh Y
•Apr 16, 2021
I have learned so much about Data Analysis apart from job perspective I also got to know use of data in daily life.
创建者 Hugh L
•Apr 9, 2021
Very informative, this course helped me gain a deep understanding of what a typical data is processed and analyzed.
创建者 Vivi K
•Mar 30, 2021
Very insightful! I did this five weeks course in a week because it is very interesting and very easy to understand!
创建者 Pervin G
•Oct 23, 2025
Bizə bu imkanlardan yararlanmaq üçün mühit yaratdıqlarına görə Milli proqram təşkilatçılarına çox təşəkkür edirəm.
创建者 Roshan A
•Aug 12, 2025
Very useful course. I improved my skills and knowledge. Thanks to Google and the instructors for this opportunity.
创建者 Cameron W
•Aug 3, 2025
This course taught me a lot about what to expect in the Data Analyst field!! Can't wait to start this next course!
创建者 Ekei A
•Jul 15, 2025
This course was well taught and explained. The teacher gave a good background/introduction to the subject of data
创建者 sachin j
•Jul 14, 2025
Very well presented and explained. Pace was well settled and gave many insights and much time to learn everything.
创建者 Peddler O
•Mar 19, 2025
Excellent work was done by the instructors to explain the concepts in this course. The articulation is very clear.
创建者 Saami a K
•Feb 20, 2025
Very good course, the instructor was just awesome, all that assignments and self-review thing just made it better.
创建者 Hafsa Q
•Dec 6, 2024
starting of data analyst course is best. Instructor do his best to make the content understandable and productive!
创建者 Andrea D
•Feb 11, 2024
The introductive course is full of insight, well organized and easy to manage in free times e.g. after work time).