A very complete initiation to data analysis. Prof Egger is very competent and although the videos might seem short, they are filled with contents that can open hours of personal studies.

It is a course for those who are ready to learn and have the self-discipline to.

Loved this! Worked in a very data-driven industry for years and this was a nice way to organize information I already knew, with new information that almost instantly made me better at my job. Looking forward to continuing my specialize certification curriculum!

This class is very informative and clearly presented by Professor Egger. It goes over the basics of business metrics extremely capably and is a good beginning for someone who's looking to supplement their education or to begin in the field of business analytics.

It gave clear understanding of business metrics, which could help have an edge in distinguishing these important metrics from all the data available. Also, it gave clarity on different roles and skill-sets required in the field of Data science and analytics.

I really enjoyed this course. It was a good course for someone just starting out in this field (like me) and I didn't feel overwhelmed. The material is useful and they include real world examples that you'd see in a Business Analyst or Data Analyst position.

This course does an excellent job of setting the tone for the rest of the courses through breaking down real-life applications of business metrics and explaining their mechanics. In doing so, it's shed a lot of light into metrics/KPI design for my own work.

I really love this course, It gave me a good understanding of what data driven companies focus on and how to ask important question in a business organisation. To me, the course is very essential if you want to dive into data analyse. Thanks to the tutors.

Highly recommend this course for people interested in business analytics! The course didn't cover technical skills, but through the course, students can have a good overall understanding of the roles in analytics field and better plan their career paths.

The course was really well prepared, and it had so many helpful tools for a new learner. I just wish the course had more depth and length, but I understand that this is a beginner's course, so nothing to complain about it. Thank you for the great course.

This course was very helpful. I am engineering with no background in business but it introduced it in an easy way. I have gained a lot of information. and understood clearly. I googled things but that enhances the learning process. Thanks for this course

obviously this course helped building basic concepts in understanding further business metrics. and the examples used are very close to real life , not at all text book style. I had a great time viewing videos and improve my knowledge with my classmates.

This is a solid course for learning the basics of different business metrics, web metrics, and financial metrics. I highly recommend this course for beginners like me.

The video lectures are quite engaging and the instructor is very easy to understand.

I'm delighted to complete this course where I get to learn so many key concepts revolving around business metrics. I would recommend this course to anyone who is looking ahead to learn the various basic concepts related to the business world. Thanks.

Great course for those without experience in Data Driven companies and want to master the very basics first before going the extra mile. Looking forward to complete the specialization before deciding next steps for this path.

Looking promising so far!

It is very useful to find and analyze the right business metric for special businesses in order to improve business processes which can lead to increase in revenue and profitability and avoiding risks. This course was very helpful for that purpose.

Professor Daniel Egger's lectures are entertaining, informative and relevant. This course has definitely been one of the better courses I have taken on Coursera.

Would recommend it to anyone looking for an introduction to the field of analytics.

Great Course, Daniel Egger explains very accurately the important business metrics nowadays and the important of the Big Data, it´s more approach than practice; but if you want to enter into this data-real-world, is a must this course for you.

This course one of the best on the entire platform, the Lecturer EISH!! man you are a beast u killed this course, you know your stuff and would have loved to have a one on one chat with you because you are out of this world Egger I salute you.

Very good information. The course had a very effective way of taking some pretty complex concepts of business metrics and explain them in a way that a non business minded person could understand....... That is the epitome of a good course!!

Una buena introducción al análisis de datos para empresas, tal vez demasiado enfocado al ámbito financiero y descuidando otros aspectos.

En general es bueno y muy recomendable como introducción ya que se explica bastante bien conceptualmente.

Great class. I'm very happy with my choice for a Specialization to take at Coursera. The instructor is not only very knowledgeable, but also explain some very complicated processes in a way that helps in the understanding of the topic.

I audited this course as it was recommended by my hubby who is a data scientist and see if i can apply the learnings in healthcare. This has immensely benefited me. Prof. you are so crisp and clear and is easy to understand.

Thanks

Ramya.N

The course provided a wide range of business data-driven information. The videos were very easy to watch and read the materials provided. This course has provided me with insight on how to efficiently use business metrics data-driven.

This was one of the most inviting and instructive lectures I have ever come across in terms of data analysis. it cites mostly real events and real companies and how they perceive their big data and usage.

Great work. well done Professor

Great course. The peer graded assignment was a particularly effective review of the material presented in the course. When expected to grade another's work, one must be pretty clear in their own understanding of the subject matter..