The Foundations of Data Science course was an excellent introduction to the world of data analytics. The course provided a comprehensive overview of data science roles, workplace expectations, and the PACE workflow, which was incredibly helpful in understanding how data professionals operate. I particularly appreciated the exploration of data ethics and communication skills, as they are crucial in any data career. The course content was well-structured and easy to follow, and the real-world scenarios allowed me to apply my knowledge effectively. Overall, it was a valuable learning experience that laid a solid foundation for my data analytics journey. I feel more confident in my understanding of the data career space and look forward to applying these skills in future courses and real-world projects.

Enrolling in the Foundations of Data Science course on Google Coursera was a transformative experience for me. The course, expertly designed, provided a comprehensive and structured journey into the realm of data science. From fundamental concepts to hands-on applications, each module was engaging and well-paced. The content was delivered by knowledgeable instructors, making complex topics accessible. The practical exercises and real-world examples not only reinforced theoretical learning but also equipped me with valuable skills. I am now confident in my grasp of foundational data science principles, thanks to this outstanding course. Highly recommended for anyone looking to embark on their data science journey!

This course was very good, and I learned a lot of new things in it

One thing I think the way of doing and solving projects is not clear from the first time and the text materials regarding projects are not straight to the points

Generally, I found this course valuable and the PACE model adds a lot to me and changes my way of thinking in a procedural manner, I learned similar things in Google Data Analytics specialization earlier, but here I think the process is more compressed and functional wise and the path from identifying the problem to sharing insights about it is clearer than that found earlier

Thanks a lot to the instructors and content providers for their remarkable great and wise educational materials

Курс был действительно полезным и вдохновляющим. С самого начала я узнал, как структурированные подходы, такие как PACE, помогают организовать процессы анализа данных и довести проект до результата. Мне понравилось, что материал был изложен ясно, с примерами из реальной практики, что позволило увидеть, как знания могут быть применены на практике. Я особенно ценю возможность изучить основные этапы планирования и взаимодействия с заинтересованными сторонами, что помогает лучше понять, как данные влияют на принятие решений в организации. Жду следующего модуля с изучением Python!

where I am today, I never expected to be, chance happened upon me. I was able to be observant to see opportunity and grab it with both hands. I am learning and I really love what I am learning. It is invaluable, data data everywhere whose gonna do the work: "I am". That's why I am really grateful for this opportunity that gives me the enablement to do the work. Thank you #coursera, the learning process has been challenging but never insurmountable. Thank you so much #Techxtramile: my love for you guys is eternal. Also a big thank you to #Google.

"I am incredibly grateful to Google and Coursera for offering the Foundations of Data Science course. This course has been a tremendous learning experience, and I can't thank them enough for providing such a valuable resource. The content is well-structured, and the knowledge gained is truly enlightening. I look forward to the rest of the course and continuing my journey in the world of data science. Thank you, Google and Coursera, for this incredible opportunity!"

The Foundations of Data Science course is a great way to learn about data science. It is well-structured, engaging, and informative. I recommend it to anyone who is interested in learning more about this exciting field.

Learning is a continuous process, so make sure to stay focused and finish as much as possible. Take breaks and stay hydrated, but only for short periods of time. If necessary, review each module and course so that you do not lose interest.

The course contains a lot of interesting information on how to become a data professional and good advice on how to prepare for such a career. What I particularly liked were the numerous web addresses, which allowed me to search for further information on the Internet in a targeted manner. Module 4 and Module 5 were a particular highlight for me, as the subject matter is very interesting and helpful

I like they way Google Advance analytics program starts with a holistic view of the role and purpose of the data scientist in a team rather than getting straight into the Python and Ml. It was helpful to understand program plans and expectations, exploring the defining details of a data professional career and learning the key concepts of the program, including learning outcomes

A much needed refresher course for those already in the data space excerpt experts. Help with identify the data professional landscape, setting up a data team, interacting with other stakeholders as a data professional and framework in approaching data projects. A solid recommendation to those start out as till be able to install some best practices from the get go.

I really enjoyed this introductory course coming from the Google Data Analytics Certificate. I think I am a lot more familiar with many concepts and I can already say I like more the structure and design this new course has. I enjoyed the way activities are set and how each course will give me the opportunity to practice what I've learned for a portfolio project.

The Foundation of Data Science of Data Analytics Course on Coursera is a comprehensive and well-structured program. It covers fundamental concepts, practical applications, and provides hands-on experience. The course emphasizes real-world scenarios and offers valuable resources for learners. Highly recommended for building a solid foundation in data analytics.

These are all important topics in the theory of machine learning and it is refreshing to see them introduced together in a textbook at this level.  However, the book also includes material on other topics including Markov chains, random graph models, linear and semidefinite programming and wavelets that are arguably not fundamental to data science.

It is an essential course to understand the basics of data science field. Not only this course explore the careers and skills needed to be successful in this field but also it enables the individuals to start the data science projects by providing the guidelines as to how the data science project is initiated and structured.

It is the best introductory course to the fundamentals of Data Analysis that I have seen so far. This course gives you an overview of what to expect in the data science workplace, and how to address different challenges, and it provides a logical framework for approaching a data analytics project in its planning phase.

This course is best to get wholesome understanding of the entire data field - what actually happens in data field, who are the data professionals and their types, what they actually do and many more things. You'll get to know about PACE(Plan, Analyze, Construct, Execute) framework, the workflow of a project, etc.

Great course to begin with the data science journey. I like the wonderful tool PACE. It can be used in any field regardless of the type of the project. I wish to have more explanation about the exemplars. However, it gave me time to think and review my work by myself by comparing with the exemplar and my work.

As a new entrant to data analytics in just over a year, I was missing this key piece of information on how to methodically approach the inception of answering business intelligence questions . This course has filled in these gaps for me and I can proudly say that my problem solving approach has sky-rocketed!

The first course was a definite need to establish a solid foundation for what's coming next. I really enjoyed the instructor's narration and explanations. I took some notes to come back to when necessary. Overall, it gave me a better understanding of how the real-life Data Scientist role is involved with.

I recently completed the "Foundations of Data Science" course on Coursera, and I must say it was an outstanding learning experience. The course provided a comprehensive introduction to the fundamental concepts of data science, and I feel much more confident in my understanding of the field.

Excelente a nivel repaso para los que venimos del Certificado Profesional Google Data Analytics.

El nivel de los instructores sigue mejorando en cada curso.

Si bien es básico, define muy bien los roles y nos permite vislumbrar hacia qué parte de la cienca de datos queremos orientarnos.

The information is relevant, digestible, and exciting. It is presented in a way that visually keeps my attention and it is very practical. Its not your typical dry technology learning experience. They clearly user tested this program several times, listened and applied the feedback.

This is a very good coarse to really get you started with a career in data Science even if you have no idea what its all about.Very well structured and they explain like you are a child. This is online studies made easy.Thank you , thank you google for creating such a great coarse!!

In this part of the program, I learned the basic concepts of data science and discovered how data scientists operate in the workplace. I also learned how the PACE workflow can help you better understand how to navigate the technical and workplace expectations of a data professional.

I have taken-up many course on udemy and many other platform, but must say google is simply extraordinary in everything. The way things are explained in this course have motivated me a lot towards my goal. Thanks google and thanks coursera for developing such an amazing platform.