A data analyst course is an excellent choice for several reasons: 1. *High demand*: With the exponential growth of data, companies need professionals to interpret and make decisions based on data insights, making data analysts in high demand. 2. *Versatility*: Data analysts work in various industries, from finance to healthcare, offering diverse career paths. 3. *Problem-solving*: Data analysis involves identifying patterns, trends, and correlations, making it a challenging and rewarding field for problem-solvers. 4. *Continuous learning*: The field of data analysis is constantly evolving, requiring analysts to stay up-to-date with new tools and techniques, ensuring lifelong learning. 5. *Compensation*: Data analysts are typically well-compensated, with median salaries higher than those in many other fields. 6. *Impact*: Data analysts play a crucial role in informing business decisions, driving growth, and improving outcomes, making their work meaningful and impactful. Overall, a data analyst course offers a rewarding and challenging career path with strong job prospects, opportunities for growth, and the chance to make a significant impact in various industries.

I really learned a great deal about all aspects of how data analysts go about asking the right questions to help businesses make data driven decisions. I learned about using formulas and functions in spreadsheets and agot to see what dashboards can look like. I also learned how to use the process of Structured Thinking to zero in on the problem facing a business. The sections on identifying stakeholders and how to use best practices in all my communications with them and team members was very informative. The videos were well crafted and so was the reading materials. What is satisfying for me throughout the course is when I get to hear the first hand stories of real Googlers, what they do and the advice they give to new people like myself who are just starting on the journey towards being a data analyst. The video from Nathan, a former U.S. Marine, was very informative because I could really relate to someone who made a career change into a very different area and the steps he took before getting his position at Google.

This course has been an immensely valuable resource in comprehending the multifaceted nature of crafting effective questions and understanding their pivotal role in the realm of data analysis. I would like to extend my heartfelt gratitude for this enlightening course. One standout aspect of the course is its adeptness at not just explaining the 'how,' but also delving into the 'why' of asking effective questions, particularly from a data analyst's perspective. This insight has fundamentally transformed my approach to data analysis. The incorporation of real-world examples and assignments, mirroring authentic situations faced by data analysts in the field, was a highlight of the course. It made the learning experience incredibly engaging and gave me a taste of what it's like to be a data analyst in a corporate setting. Once again, thank you for this invaluable course. It has not only equipped me with practical skills but also instilled the confidence and perspective necessary to excel in the world of data analysis.

This course, focused on the Ask stage of the Data Analysis process, has been the most valuable one to date for me. The most important attribute the data analyst has in the work environment is the ability to communicate data insights to stakeholders effectively and in a way that informs decision making. In this, the analyst needs top-notch communication skills including being able to ask the right questions, managing expectations and conveying information to non-experts and experts alike in an engaging way. This distinction makes analysts vital in any organisation and are a set of skills that I feel I can improve markedly as a result of completing this course. I'm also glad this came up earlier than the next course which focus on the more technical aspects of data work including processing, preparing and analysing data. All in all, well put together and a vital topic for any analyst looking to become a more effective communicator.

Actually, i am a new to this sort of data analytics from the scratch. The reason for this courses was that i wanted to know a whole process from the start no matter what roles we are involved in the data analysis. I would say the "Ask Questions to Make Data-Driven Decisions" course is the most impressive and make me more robust before starting off projects moving forward. To be honest, i wasn't able to catch up with what context in a course mean and see a whole forests in the process of the course. However, i practiced what i had learned over and over so that as taking steps, i became as much understanding of context of ASK phase and importance of it in an initial state as repeated it.

Above all, for the instructors who lead us to the right direction, i appreciate them and many many thanks and back to them whenever i want to review or see them.

Bye,

Kevin Song

Asking questions is an essential part of making data-driven decisions. It's the process of inquiry that leads to a deeper understanding of the situation or problem at hand. Effective questions help define the scope of the issue, identify relevant data sources, and pinpoint key performance indicators (KPIs) that need measurement. They also guide the collection of data and shape the analysis process. The right questions, formulated thoughtfully, can uncover patterns, trends, and insights within the data, empowering decision-makers to make informed and strategic choices. In essence, questions drive the entire data analysis and decision-making process by ensuring that the right data is collected and interpreted to address the specific issue at hand. So I strongly recommend this course for people who with thirsty about data analytics !!

This course hase changed my way of thinking about data, we used to deal with data as it ready in our hands but, we have never thought of asking questions to get the most out of the data in our hand, or asking questions to learn more about the conditions which may effect our data,questions to discover relationships and correlations in the data. my thought after I start the course was about questioning the data to get answers, but I found that, in real live the questioning start from asking the stakeholders and problem owners to understand the problem well and to meet the stakeholder expectations, and the asking habit keeps moving with you alonge side of all data analytics phases with different goals to be accomplished in each phase, Many thanks to Ximena for her simply way of teaching, which made it understood to me very well

Second course of the Google Data Analytics Professional Certificate. It was great for most parts, especially for the professional skills related to communication, conflict handling etc. Spreadsheets related course was basic and i guess it will be taught in future courses (as part of the certification), as far as i read. I would have preferred more videos on spreadsheets with examples of key functions used. As for this course, lot of links towards reading materials (a big thumbs up BUT should have been like a small chapter in this course - spreadsheets key functions, for example). The instructor, Ximena was great and videos were crisp and to the point. Cheers.

I absolutely love the diversity in the presenters for each of these courses in the program. The presenters were very knowledgeable but were excellent in breaking down the information in a beginner-friendly manner. There was so much content, but possible to learn and understand. I really loved the interactive lessons that gave the learner the plenty opportunity to practice the new content within each lesson. I really enjoyed this program that helped me to learn what I needed to learn without feeling overwhelmed. It was also extremely helpful that the design of the new information was always presented in a manner that real-world applications.

I appreciated how this program walked you through the specifics of spreadsheets etc, but I wish, at some points during the spreadsheet learning, they would explain exactly what each aspect of functions do. For example there's was a qwiklab that had me enter something like =vlookup(h3,{A$1:A$20,F$1:F$20},2,0). After following instructions and getting the answer I still was confused how where got there, I didn't know what the "$" meant, and I had no clue where the 2, and 0 came from or what they meant. Overall I learned an INCREDIBLE amount from this course and I would recommend it to anyone wanting to learn more about data analytics

A great course to understand "how to ask a question?" Well I think the processes explained here about asking question is not limited for data analysis but I think these are equally important for resolving any issue in our professional as well as personal life. The way you ask the question will definitely help you to find a great solution for any of you problems. Team building, working under pressure, meeting deadlines all these aspects are beautifully explained which will be very useful once we start our real professional journey of data analysis, well again I think this aspects are equally important for any other professions.

This course clears the foundation , it is really beginner friendly and the instructors are really amazing , the in video questions as well as the reading material are the great source of learning , self reflection and discussion forums worked for me , i really enjoy to learn as well as reflect from what i have learned so far , completing this religiously gives me the sheer confidence while framing questions and understanding and identifying problem and solution for complicated business problems, thank you Ximena, for all your efforts to share such an amazing course module for us learners all over the globe.

I enjoyed this course a lot. This course is giving a clear idea about how to ask right question , which is a very strong element in data analysis. The course also discuss about how to tackle and respond to various scenarios that might encounter in a real life analyst job. But i found its not only a scenario for analyst but also for every professionals in corporate. I really got excited when they suggested data set and various free softwires and tools to tryout and gain experience on data analysis . This course is not only teaching Data analysis but also providing insights to build a portfolio.

This 4-week course taught me a whole lot more than I expected to learn. From identifying effective questions using the SMART methodology to using spreadsheets. It taught me how to identify quantitative and qualitative data. How to identify stakeholders within a company and resolve and avoid conflicts. It provided insight into how to use practical tools such as a scope of work to effectively communicate and prevent misunderstandings with stakeholders and focus on the objective. Using structured thinking, the importance of context, problem domains and so much more!

I look forward to learning more!

Google's courses are superb! I have taken several on Coursera from IBM, especially in Data Science, and honestly, they are nothing compared to Google's. It's no wonder Google is the leader in their industry. All the content adds and builds on each other so you really understand the importance of asking good questions in order to begin your Data Analysis journey. They even give you questions to think about throughout the whole process. Also, every interview, every quiz, project, everything on this course really solidifies the understanding and learning. Great course! Thanks Google.

i enjoyed the Analytical approach taken around this module and the best practices of getting the right answers. The pace is not too fast but one area of improvement is:

some of the learning points can be merged into one segment instead of breaking up too refinely. For example, I think the excel portion comprises of some basic 101 stuff (attributes adjustments etc.) which can be streamlined further into a "refresher" type of segment. More focus can then be on analyzing and focusing on the interpretation learning.

perhaps you can can gather more "data" to validate this suggestion?

=)

Since this was a beginner's course, it was very beneficial to anyone who is just starting out in the professional world and data analysis altogether, but not for anyone who is in higher education and has a general sense of data analysis.

I would recommend to the higher education students to take the speed track right away (if you pass the Diagnostic Test), as this course covers introductory aspects of data analysis, spreadsheets and communication. Just doing the Practice Quizzes (based on Test your knowledge on...), the Weekly Challenges and the Course Challenge will suffice.

I consider the theme of this second course "Ask questions to make decisions based on data" sufficiently complete, very well structured and deepening on the concepts of the program. Like the previous course, the participation of the facilitators is developed in a very pleasant and friendly way and the instruction aids used are very illustrative. I am also very grateful for the financial aid that they gave me to complete this second course and I would like it to be extended so that I can complete the next courses of the program. Sincerely, thank you very much.

This course gives a very comprehensive foundation on the soft skills that are required to a Data Analyst. Quite frequently new learners focus only on the hard skills, how many softwares they know, level of fluency in programming languages, etc. However what really makes someone stands apart from the croud, is a very good set of soft skills. Improment on the communications skills, confict resolution (or avoidance), priorization of work are definitely must-have skills that every company values. This course gives a very good foundation on all these factors.

Since i already spent over 30 years as an analyst, a lot of this course was more of a review. However, it was a great to be reminded of all the basics and how they play a most important part in data analysis. I'm glad I took this course. I highly recommend it to anyone but especially those are looking to reinstate, or reinvent, their role(s) in data analysis.

I did get a little tripped up over qualitative versus quantitive, however, it was no fault of the course. It was just me switching the definitions of them when answering the course questions.

The course is intense, it prepares you to recognize problems, recognize the power and limits of data and see when data becomes significant. In addition, you learn data sheets, basics and develop metrics. With structured thinking, a scope of work is created, always trying to be objective with the data. In addition, we work with the parties interested in the project, we learn to generate trust and be able to communicate clearly. To finish the course, it prepares you to write emails and to attend face-to-face or virtual professional meetings.

Have a nice day, my teacher. Thank you for this course. This is nice work, teacher! I have completed this course, which is like full gratification! Employers appreciate these kinds of classes and can appreciate what's needed. I have developed during my learning. There is an opportunity to feature this project in my portfolio and add details to illustrate my rational thinking and skills. My recently completed course would look great on my profile. I appreciate you, and I am very grateful for the knowledge that you give to people.

The instructor presents information in a well organized manner and her communication style is enjoyable. I value the organization of the course to rotate topics in a manner that engages alternative areas of the brain, such as a module focused on techical spreadsheets followed by a module focusing on team communication & collaboration skills. This allows me to utilize one type of left-side thinking, and then engage in another type of right-side creativity - which increases the ability to learn and absorb informaiton for myself.

As a current data analyst, by trade but not by learning, I found this course to be particularly useful, drilling into me the importance of questioning the data and questioning all stakeholders, including managers. This course won't be as useful for those who want the technical bits and be done with it all. Though in my opinion, if one does not care about the 'thinking' side of things and more of just the 'doing' side of things, one won't really be able to go far in data analytics. So I would definitely recommend this course.

I have really learned a lot about reframing questions and using quantitative and qualitative data. The most impressive part was the errors in excel, I have seen most of them all the time but never understood what they meant and this course has explained it and taught me how to deal with errors. I have also picked out the skill of reading aloud and it's helping me through this course.

Thanks to the Facilitator as well. Her clear speech and her excitement kept the class lively. Hope to enjoy the next lesson. Thank Google.