I gain a lot of knowledges about how to communicate and work effectively with stakeholders or the teams and how to ask right SMART questions and how to prepare for the project by thinking structurally but in spreadsheet section , it teaches not much necessary the skills for the learners in my opinion , otherwise it's a great course. I gave it 4 stars for that reason only .

the instructor is clear but i feel the conversation part was too big a jump to make for a beginner. it was just weird and biased towards people who can get hold of someone who would answer their questions properly. could there not be a mock case study to work on instead? Not everyone has access to people they can just call up to talk, especially in a pandemic situation.

The course covered up a lot of aspects that play a role in the Ask phase of the Data Analysis process life cycle. The direct video sessions from those people who work with Data in real-time were an add-on to this course.

I personally felt the course to be a bit lengthy. I found new ways of self-realization tasks added upon here in this course, which is appreciable.

In this course, we explored effective questions and we learned how to use quantitative and qualitative data, metrics and math to connect the dots. We also covered spreadsheet basics, how to apply structured thinking and key communication skills for working with stakeholders and team members. That's a lot guys!, with good explanation and content it's become easier.

The course is clean and diverse and well explained. I personally had trouble with almost all of the practice sheets from google. I kept getting the access denied page. I found an error in one of the "course challenge" questions. Where it asks for you to determine the sum of sales of a column in a spreadsheet, but the the multiple answer is on a different column.

Another good course. The one part I really disliked was the SOW worksheet that linked to 5 projects to have as a data analyst. I got so stuck as I didn't really understand what the assignment wanted when paired with so many potential projects. I would have better understood if there were say 5 to 10 examples of projects and you created a SOW for that project.

Very informative concerning the environment in which data analysts work and how they interact within an organization. 4 starts because I timed out learning how to log in to Qwiklabs and couldn't complete my first lab assignment. One comprehensive set of instructions would help. Also, Evan should enunciate instead of swallowing the last half of his sentences.

For, me, the course started off on a slow pace with a couple of repetitive topics and sub topics. It felt dragged compared to the first course. But I enjoyed it towards the ending. Not much on the technical skills save for Spreadsheet, but definitely filled with helpful information on how to interact as a Data Analyst. It will be very useful for Interviews.

In this course "Ask questions to make Data-Driven decisions" , Ximena goes deep into the important topic of asking effective questions in order to understand the problem and stakeholder expectations. How to apply our structured thingking process and make data-driven decisions and how to communicate effectively with coworkers and stakeholders.

Thank you.

Well designed course covering technical as well as non-technical skills. Markedly more meaningful journal entries from the first course, well-designed course structure and the course challenge. Ximena was especially great as an instructor. But, being an engineer, I wish there were more challenging spreadsheet tasks to tackle than a ungraded Qwiklab.

This course was very insightful. I am not sure if it was me moving slowiy, but I am not sure the time frame of completing the the excel assignemnt may not have been enough time. Then again it could just be me, because I had to take the time to go back and forth to the directions. It would be nice if we could print them out to reference to as well.

The course content is great, with many informative videos and readings. The quizzes and assessments are also effective in assessing knowledge based on the concepts taught. However in my opinion, the course structure is messy, especially the sections about spreadsheet functions, formulas, dashboards, etc, which will be explained in future courses.

Very good, especially the spreadsheets, communication and data-driven decision parts. The only thing I didn't like is that when using remote desktop, I had a hard time switching my keyboard from Spanish to English and then finding the right keys to use Google Spreadsheets.

Ximena was a great teacher. Thanks Google and Coursera once again.

Awesome course ! I had a fun learning experience. Thank you. I would like to give you a suggestion in spreadsheet part. You had information on absolute and relative cell reference but it wasn't clear. I had to watch 4 to 5 YouTube videos to make it clear. I hope you add more information to it. Other than that it was a cool experience.

It is designed for perople with no experince. I also missed Excel tasks more complex than "write a formula to sum values in the column).

With regards to the soft skills - a lot of good things were told there, but it is really hard to make sure that you nailed them (I think that a multiple choice test is not a good solution for that)

Es bueno tener un curso que abarqué el tema de las preguntas y su importancia, sin embargo si falta realizar un pequeño y breve resumen de lo que se habla en los vídeos, es necesario los vídeos con ejemplos para entenderlo, por lo tanto tener más de estos resumenes cortos o cuestionarios breves de lo que se vió, refuerza aún más.

While there was a lot of great information and instruction in this course, some of the information is no longer up to date and some of the SQL exercises embedded in the activities did not work as they were supposed to. Also, a lot of the hands on activities got very redundant, asking the same reflection questions over and over.

This very course helped me improve on my communication skills, to be able to communicate effectively and clear, also knowing how to ask strategic and well defined questions.

Also most importantly knowing how to make use of data to derive right solutions to every given problem, and understand the importance of team work. etc

Love the course. I am learning so much and the format is set up in such a way that makes even a new or seasoned learner able to follow the format. However, I found the discussion forums a bit confusing as to find the answer to a question that was posted a few days earlier. Other than this one issue I am loving the course!

I found the course very interesting. It provided many tools and points for discussion, encompassing not just basic technical skills as a refresher but also soft skills such as methods of questioning and working with others. Ximena the course instructor I found to be engaging and enthusiastic about the content.

Good

The course was organized in an easy to understand format that covered the basics at an entry level to the field. The assignments would be more meaningful is a premise was provided rather than asking the student to develeop their own scenarios, since students should not be expected to be familiar with the field.

I personally learn more from hands-on experience. I think more simulations and raw data projects would be beneficial and facilitate better engagement overall. The information is repetitive with all the quizzes and review opportunities, which I feel is helpful in the long term. Great introductory course overall!

There was a lot of time spent on definitions with videos, I PERSONALLY (speaking for myself) prefer if it was much shorter with a glossary of terms and definitions rather than videos. I find that I can learn faster with text based information. The real-world examples from Google employees was AMAZING as always.

It is a great couse. However, sometimes I feel the conent over different weeks of the course are diconnected, espicially between the first week and the last weeks. And, I belive the first week need more conent to be developed to establish string foundations of how to asks goods questions to business users.

I get to learn the building block of my analysis career and that is asking, identifying whom to ask, identifying the problem type, smart measurable questions, and also professional communication and ethics which will help me in a behavioral interview not only that it helped to gain a on-job perspective.