This is definitely one of the better courses I've taken on Coursera, hands=down ten times better than the garbage IBM produces. It really makes sense why Google is such a much more succesful company than IBM if you watch the Data Science Courses from IBM, vs Data Analytics courses by Google. IBM courses seem like someone was just trying to finish an assignment they didn't want to do, and had no idea or effort put into coming up with something excellent, whereas this Google course has a great variety of exercises, videos, reading, case studies, flash-cards, etc etc to really make the learning so comprehensive. Thanks so much to the Google Team for this incredible resource. Can't wait to see what's next in this Specialization!

This course is a thoughtfully designed, gentle preview of the data analytics process, spreadsheets, and SQL. The information is presented clearly and divided into short videos and readings, with quick quizzes to measure understanding. It is a very user-friendly experience, with accessible transcripts and easy-to-read text. The course navigation is excellent; Google designers let students pick up where they left off, which saves time. Personally, I've already started to apply what I learned in this course, by starting a gap analysis at my day job to address long-standing business problems in a more data-driven way. I really enjoyed the course, and I look forward to diving deeper into the rest of the program. Thanks, Google!

Fantastic and unintimidating. I wish that I better understood where my learning log is on my laptop and cloud drive. Maybe it's considered too fundamental to teach. I am concerned that I will not fit in as a data analyst, as I am not able to work 60 hours per week. I also have few connections in the field. I am also not great at social media creation, and kind-of dislike it generally. I may deveope skills but never gt a chance to use them. Lastly, culture is the most important aspect of where I want to work. I have worked in finance which has male toxicity issues that I am not willing to endure. Thank you for reading my review. I hope that an opportunity at Google itself may be available, as I like its culture.

Overall, this is an excellent course. In my opinion, and I only speak for myself, I would like a note-taking feature that would allow me to take notes on every page, and then have a common access file link in the left column, for quick future reference of these notes. I am currently handwriting my notes, which I do not mind. Also, sometimes terms are missing in a test question, which may trip a test-taker. I might be over-thinking things, but when asked about "business task" in a true/false question, and it is solely described as " the problem or data" without the remainder or reference to " for a business" (as it was defined in the material), this might throw students off. Again, it may be me over-thinking things.

I now have a pretty clear idea of why Data Analysts are so in-demand. They really do help a company make effective changes that will improve their business. But it takes an analytical, critical-thinking individual to help that company improve. The information throughout this first course explains what's involved in immersing oneself in a field critical in the business community. However, it's not just business, Data Analytics can be applied in any field the individual might be interested, from finance to government to healthcare, even to ones personal life. The first course makes the student crave more information, it's foundational, it lays the groundwork for higher learning in the field of analyzing data.

The Data Analytics course on Coursera was an amazing experience for a beginner like me! The content is logically structured, allowing you to move smoothly from basic concepts to practical applications. What I loved most: Diverse Activities: Interactive exercises, hands-on projects (like analyzing real-world data using Excel), and quizzes to test your understanding. Clear Explanations: Examples attached to each lecture made complex concepts easy to grasp. Flexibility: The ability to learn at your own pace without pressure. I highly recommend it to anyone looking to enter the data analytics field. It gives you a solid foundation and the confidence to apply what you’ve learned directly to real-world projects."

First of all, I have to thanks Google and Coursera to present that amazing opportunity and valuable science. In my opinion and my view, the first course in Data Analytics is very amazing and fantastic, It starts with you from the beginning and learns you everything in detail and the instructor is very directed and clear. I have learned many amazing things and knew the field of data analytics, the role of data science, tools that used in data analysis including data visualization, spreadsheets, and query language (SQL), and I have known more about stakeholders and data-driven decision-making. In the last of my feedback I thanks Coursera and Google for that fantastic and valuable opportunity.

Reda Ibrahim - Egypt

Very thorough course! I'd really like to know the answers to the questions I got wrong, but I understand why that's not an option. There were a couple of questions asked on the course challenge that I don't remember learning about (specifically how to import a database into a spreadsheet). I was also confused with the first introduction to SQL, but I understood what I had trouble connecting in the following module. Other than that, really happy with the flow and content of the course.

Overall, the course went at a great pace, and didn't feel too hard. I appreciate it's thoroughness. I like the videos and the readings/assignments. I never got bored. Thank you for putting together a fantastic course, Google!

Decided to take a new path in life learning something new and orienting my life towards a new career. I was hesitant at first because I had never taken a course online (My last class was in person in 2016 and was always stressed about it) now I can confidently say this is one of the best decisions I have taken in my adult life, It was very accessible and accommodating to my schedule as well as easy to understand, It gave me the resources and confidence in completing a program and made my goal so much more achievable plus I had the opportunity to connect with people around the globe with different views which expanded my own vision. I can’t recommend it enough, if you have the opportunity just take it!

Love the course so far! Its impactful but concise at the same time. They do a great job testing your skills to really make sure you are learing the most from the course. I already see a difference in my thinking. There are small technicallities, whcih are really minor when you think of the whole scope of the course. The discussion prompts, I really don't find as effective as all the other tools, and a lot of times I ran into issues while typing up my answers. Also, since there are questions that ask about the type of visualizatios, I wish there was more information/ examples on it. Even reviewing the those subjects, I was left a little confused. Overall, loving it and glad that I chose to pursue this!

- Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. - Evaluate the role of analytics in the data ecosystem. - Conduct an analytical thinking self-assessment. - Explore job opportunities available to you upon program completion, and learn about best practices in the job search.

Antoun Katta

This course was helpful to familiarize me with Coursera. Although parts of the course were review from my academic and work experience, the course challenged me to think about how data-decisions fit the big picture in problem-solving.

The interval and end-of-chapter quizzes helped reinforce my learning by revisiting the concepts I learned throughout the chapter.

I find the video presenters friendly and fun! Their real-life experience painted a picture of what the job expectations can look like.

Last but not least, dismissing all onions because we are missing data about red onions is unfair. If I had to choose one take away from the lesson is that representation matters for data analysts.

I would like to thank ALL the instructors, the tutors, and Stackoverflow for opening up a new world to me. Before taking this course and deciding to sign up, my entire life had been working in different areas of healthcare; acquiring what bit of knowledge these first five weeks, brings me to tears of joy. I have always enjoyed treating people and doing my best not to lose anyone on my watch, you all share the same passion. Advancing my career in data analytics will provide more opportunities for me to work in a number of different fields. I thank Google for creating this platform for people like me, beginners in this area. Thank you again... Sincerely Felicia McGee

I love Tony Sir, he explained the concepts in a very easy way from starting. And he motivates genuienly from bottom of his heart. I loved this course; process for completing this course is very fascinating to me. Hope further courses are much more in a critical and analytical way coz I learned the basics of Data very well. How to analyze it, analytical thinking, Business knowledge + Data = Mystery solved.

Overall the course is best for knowing and exploring deepily inside the data OR How to play with data and information that you are gathering everyday for your projects, plans and businesses.

Thanks to Coursera for creating this valuable course in a affordable price. 💖

I hope Google could use AI software to spot and filter learners who just use nonsense, "hi" "great", or copy & paste for the ungraded assignments (on discussion board). It really makes me sad when I browsed through them trying to "comment on at least two replies and discuss" . Also I won't know if anyone commented to my answers? Do I have to go back persistently to check if someone commented on me? Last but not least, in the "Meet and Greet" section, how do we connect to each other? It's not recommended that we leave private contact info there. Thanks in advance for answering! I really love these courses just hope the above issues could be addressed. Thanks again!

One of the best structured courses i have ever done ,it really introduces you to the foundation necessary for this job .

Very clear and simple i would say ,also with people that are actually experts in this field .

The think i loved the most was all of the tutors were very humble ,i apprecciate people that are able to be humble even do they are very intelligent .

My rate is based not on facts ,but more about how they make you feel as a beginner troughout the course ,i felt apprecciated ,understood and most of all encouraged to be myself with all the thinks i do not know ....

Do the course ,you will understand at the end why helps you in your path ,this is a first step.

Course Review: Foundations: Data, Data, Everywhere

"Foundations: Data, Data, Everywhere" is an enlightening course that covers a wide range of data-related topics. The content is well-structured, with a good balance between theory and practical applications. The instructors are knowledgeable and engaging, using real-world examples to illustrate concepts. The course emphasizes ethical considerations in data handling. The platform is user-friendly, allowing for seamless navigation and interaction with peers. More hands-on projects could enhance the learning experience. Overall, I highly recommend this course for those seeking a solid understanding of data fundamentals.

Thank you very much Google Team for creating this amazing course!

I have gained a deeper understanding of data analysis. The program is awesome for people who want to develop or change their career in data analysis. Before I began the course, I thought data analyst is only for people who have a technical background to do, not like me from non-tech background. After I began this course, I realized that even though you don't have any tech experience, you can still be a data analyst if you have a strong passion for it! Obtaining this Cert is just the beginning. I still have a long way to go. I am so excited to start this journey and develop more skills in data analyst.

This introductory course provides a solid foundation in understanding the role of data in decision-making, both in everyday life and within organizations. It thoroughly covers key concepts in data analytics, the data ecosystem, and the tools used in the trade. The course not only lays out the learning objectives clearly but also outlines principles and practices that will aid in successfully completing the certification. One of its strengths is its practical approach, emphasizing the real-world applications of data analytics. I found the course engaging and informative, and I look forward to the next course on this path to becoming a Certified Google Data Analyst.

I recently completed the Coursera course Data, Data, Everywhere and found it incredibly valuable. Throughout the course, I learned about various topics and gained essential skills in the data analysis process, data lifecycle phases, and the use of tools such as spreadsheets, SQL, and data visualization. One aspect I particularly appreciated was the focus on data fairness. The course emphasized the importance of ensuring fairness from the beginning to the conclusion of the data analysis process, a critical topic that is often overlooked. Overall, this course was comprehensive and well-structured, making it an excellent introduction to the world of data analytics.

I considered the "Foundations: Data, Data, Everywhere" course to be an excellent resource since I am an analytics specialist. The course effectively communicated the basic concepts of data and its applications in a variety of businesses, offering both academic knowledge and real-world insights. It was simpler to connect abstract concepts to real-world circumstances thanks to the well-chosen case studies and illustrations. I also like how the course improved with each lesson, allowing me to progressively improve my understanding. When everything is said and done, it's an excellent training for both experts and beginners who want to increase their data literacy.

This is an excellent course and needs to be taught at the high school level. I have discovered that most of my work life included data analysis and business analysis. I had never been trained on the process, tools, and skills that would have made my business career more successful. I was lucky in that I had the mindset, research capability and patience to solve problems with out the process or tools. I had to learn the tools. I had to learn to use technology and not manual spreadsheets. I had to learn how to solve problems by searching the data I had for answers. All of these processes I followed would have been simplified with data analytics knowledge.

Comprehensive, Well-Structured, and Beginner-Friendly! . The material is beginner-friendly yet thorough, making it an excellent choice even if you have no prior experience in the field. The flexibility to learn at your own pace is a big plus. Whether you’re a full-time student or a working professional, you can fit the course into your schedule. Compared to traditional courses, this program is highly affordable, especially given the quality and depth of learning it provides. In summary, this certificate is a perfect starting point for anyone looking to kickstart a career in data analysis. It’s practical, engaging, and incredibly rewarding. Highly recommended!

“Data Data Everywhere” highlights the growing importance and prevalence of data in our daily lives. It emphasizes how data is being generated at an unprecedented rate, from social media interactions to online transactions, and how organizations leverage this data to make informed decisions. The article stresses the need for better data management, analysis, and security as data continues to shape industries, businesses, and our personal experiences. It provides a compelling argument for why data literacy and infrastructure are critical in today’s information-driven world. Overall, it’s an insightful read on the power and potential of data in the modern era.

I have been a Data Professional for the last 8 years. I decided to take this course to get a better foundation to the fundamental of Data Analytics. I am glad I did. From the first course, I have gotten a better understanding of data life and data analysis. I have gotten a better idea of what type of analyst I'd like to be. I even have started to feel more confident in my current processing analyst role. The wrap up at the end reiterated on thing I knew I need to work on which is asking help when I have questions and the fact that it is better to master one technical skill and not all technical skills at once. I am excited to start the next section.